From 9be4674d1ddf8c469e6461a27a337eeb65f76c2e Mon Sep 17 00:00:00 2001 From: David Soria Parra Date: Wed, 28 May 2025 16:32:38 +0100 Subject: [PATCH] Updated files --- CONTRIBUTING.md | 105 --- README.md | 719 +-------------------- SECURITY.md | 18 +- package.json | 2 +- src/everything/CLAUDE.md | 20 - src/everything/Dockerfile | 22 - src/everything/README.md | 217 ------- src/everything/everything.ts | 702 -------------------- src/everything/index.ts | 37 -- src/everything/package.json | 35 - src/everything/sse.ts | 41 -- src/everything/stdio.ts | 26 - src/everything/streamableHttp.ts | 174 ----- src/everything/tsconfig.json | 10 - src/fetch/.python-version | 1 - src/fetch/Dockerfile | 36 -- src/fetch/LICENSE | 7 - src/fetch/README.md | 191 ------ src/fetch/pyproject.toml | 36 -- src/fetch/src/mcp_server_fetch/__init__.py | 25 - src/fetch/src/mcp_server_fetch/__main__.py | 5 - src/fetch/src/mcp_server_fetch/server.py | 288 --------- src/fetch/uv.lock | 716 -------------------- src/filesystem/Dockerfile | 25 - src/filesystem/README.md | 214 ------ src/filesystem/index.ts | 647 ------------------ src/filesystem/package.json | 35 - src/filesystem/tsconfig.json | 12 - src/memory/Dockerfile | 24 - src/memory/README.md | 281 -------- src/memory/index.ts | 419 ------------ src/memory/package.json | 29 - src/memory/tsconfig.json | 11 - src/sequentialthinking/Dockerfile | 24 - src/sequentialthinking/README.md | 142 ---- src/sequentialthinking/index.ts | 278 -------- src/sequentialthinking/package.json | 32 - src/sequentialthinking/tsconfig.json | 10 - src/time/.python-version | 1 - src/time/Dockerfile | 36 -- src/time/README.md | 269 -------- src/time/pyproject.toml | 38 -- src/time/src/mcp_server_time/__init__.py | 19 - src/time/src/mcp_server_time/__main__.py | 3 - src/time/src/mcp_server_time/server.py | 201 ------ src/time/test/time_server_test.py | 460 ------------- src/time/uv.lock | 489 -------------- 47 files changed, 48 insertions(+), 7084 deletions(-) delete mode 100644 CONTRIBUTING.md delete mode 100644 src/everything/CLAUDE.md delete mode 100644 src/everything/Dockerfile delete mode 100644 src/everything/README.md delete mode 100644 src/everything/everything.ts delete mode 100644 src/everything/index.ts delete mode 100644 src/everything/package.json delete mode 100644 src/everything/sse.ts delete mode 100644 src/everything/stdio.ts delete mode 100644 src/everything/streamableHttp.ts delete mode 100644 src/everything/tsconfig.json delete mode 100644 src/fetch/.python-version delete mode 100644 src/fetch/Dockerfile delete mode 100644 src/fetch/LICENSE delete mode 100644 src/fetch/README.md delete mode 100644 src/fetch/pyproject.toml delete mode 100644 src/fetch/src/mcp_server_fetch/__init__.py delete mode 100644 src/fetch/src/mcp_server_fetch/__main__.py delete mode 100644 src/fetch/src/mcp_server_fetch/server.py delete mode 100644 src/fetch/uv.lock delete mode 100644 src/filesystem/Dockerfile delete mode 100644 src/filesystem/README.md delete mode 100644 src/filesystem/index.ts delete mode 100644 src/filesystem/package.json delete mode 100644 src/filesystem/tsconfig.json delete mode 100644 src/memory/Dockerfile delete mode 100644 src/memory/README.md delete mode 100644 src/memory/index.ts delete mode 100644 src/memory/package.json delete mode 100644 src/memory/tsconfig.json delete mode 100644 src/sequentialthinking/Dockerfile delete mode 100644 src/sequentialthinking/README.md delete mode 100644 src/sequentialthinking/index.ts delete mode 100644 src/sequentialthinking/package.json delete mode 100644 src/sequentialthinking/tsconfig.json delete mode 100644 src/time/.python-version delete mode 100644 src/time/Dockerfile delete mode 100644 src/time/README.md delete mode 100644 src/time/pyproject.toml delete mode 100644 src/time/src/mcp_server_time/__init__.py delete mode 100644 src/time/src/mcp_server_time/__main__.py delete mode 100644 src/time/src/mcp_server_time/server.py delete mode 100644 src/time/test/time_server_test.py delete mode 100644 src/time/uv.lock diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md deleted file mode 100644 index 28cba5a..0000000 --- a/CONTRIBUTING.md +++ /dev/null @@ -1,105 +0,0 @@ -# Contributing to MCP Servers - -Thank you for your interest in contributing to the Model Context Protocol (MCP) servers! This document provides guidelines and instructions for contributing. - -## Types of Contributions - -### 1. New Servers - -The repository contains reference implementations, as well as a list of community servers. -We generally don't accept new servers into the repository. We do accept pull requests to the [README.md](./README.md) -adding a reference to your servers. - -Please keep lists in alphabetical order to minimize merge conflicts when adding new items. - -- Check the [modelcontextprotocol.io](https://modelcontextprotocol.io) documentation -- Ensure your server doesn't duplicate existing functionality -- Consider whether your server would be generally useful to others -- Follow [security best practices](https://modelcontextprotocol.io/docs/concepts/transports#security-considerations) from the MCP documentation -- Create a PR adding a link to your server to the [README.md](./README.md). - -### 2. Improvements to Existing Servers -Enhancements to existing servers are welcome! This includes: - -- Bug fixes -- Performance improvements -- New features -- Security enhancements - -### 3. Documentation -Documentation improvements are always welcome: - -- Fixing typos or unclear instructions -- Adding examples -- Improving setup instructions -- Adding troubleshooting guides - -## Getting Started - -1. Fork the repository -2. Clone your fork: - ```bash - git clone https://github.com/your-username/servers.git - ``` -3. Add the upstream remote: - ```bash - git remote add upstream https://github.com/modelcontextprotocol/servers.git - ``` -4. Create a branch: - ```bash - git checkout -b my-feature - ``` - -## Development Guidelines - -### Code Style -- Follow the existing code style in the repository -- Include appropriate type definitions -- Add comments for complex logic - -### Documentation -- Include a detailed README.md in your server directory -- Document all configuration options -- Provide setup instructions -- Include usage examples - -### Security -- Follow security best practices -- Implement proper input validation -- Handle errors appropriately -- Document security considerations - -## Submitting Changes - -1. Commit your changes: - ```bash - git add . - git commit -m "Description of changes" - ``` -2. Push to your fork: - ```bash - git push origin my-feature - ``` -3. Create a Pull Request through GitHub - -### Pull Request Guidelines - -- Thoroughly test your changes -- Fill out the pull request template completely -- Link any related issues -- Provide clear description of changes -- Include any necessary documentation updates -- Add screenshots for UI changes -- List any breaking changes - -## Community - -- Participate in [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions) -- Follow the [Code of Conduct](CODE_OF_CONDUCT.md) - -## Questions? - -- Check the [documentation](https://modelcontextprotocol.io) -- Ask in GitHub Discussions - -Thank you for contributing to MCP Servers! diff --git a/README.md b/README.md index f50047f..dd08afe 100644 --- a/README.md +++ b/README.md @@ -1,702 +1,51 @@ -# Model Context Protocol servers +# Model Context Protocol servers (ARCHIVED) -This repository is a collection of *reference implementations* for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP), as well as references -to community built servers and additional resources. +⚠️ **IMPORTANT: This repository is archived and no longer maintained.** -The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources. -Each MCP server is implemented with either the [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) or [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk). +## Looking for MCP servers? -> Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items. +This repository contains archived reference implementations that are no longer maintained. -## 🌟 Reference Servers +**For the current, actively maintained MCP servers, please visit:** -These servers aim to demonstrate MCP features and the TypeScript and Python SDKs. +### 👉 [https://github.com/modelcontextprotocol/servers](https://github.com/modelcontextprotocol/servers) -- **[AWS KB Retrieval](src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime -- **[Brave Search](src/brave-search)** - Web and local search using Brave's Search API -- **[EverArt](src/everart)** - AI image generation using various models -- **[Everything](src/everything)** - Reference / test server with prompts, resources, and tools -- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage -- **[Filesystem](src/filesystem)** - Secure file operations with configurable access controls -- **[Git](src/git)** - Tools to read, search, and manipulate Git repositories -- **[GitHub](src/github)** - Repository management, file operations, and GitHub API integration -- **[GitLab](src/gitlab)** - GitLab API, enabling project management -- **[Google Drive](src/gdrive)** - File access and search capabilities for Google Drive -- **[Google Maps](src/google-maps)** - Location services, directions, and place details -- **[Memory](src/memory)** - Knowledge graph-based persistent memory system -- **[PostgreSQL](src/postgres)** - Read-only database access with schema inspection -- **[Puppeteer](src/puppeteer)** - Browser automation and web scraping -- **[Redis](src/redis)** - Interact with Redis key-value stores -- **[Sentry](src/sentry)** - Retrieving and analyzing issues from Sentry.io -- **[Sequential Thinking](src/sequentialthinking)** - Dynamic and reflective problem-solving through thought sequences -- **[Slack](src/slack)** - Channel management and messaging capabilities -- **[Sqlite](src/sqlite)** - Database interaction and business intelligence capabilities -- **[Time](src/time)** - Time and timezone conversion capabilities +## About this Archive -## 🤝 Third-Party Servers +This repository contains historical reference implementations for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP). These servers were created to demonstrate MCP features and SDK capabilities but are now archived. -### 🎖️ Official Integrations +### ⚠️ Security Notice -Official integrations are maintained by companies building production ready MCP servers for their platforms. +**NO SECURITY GUARANTEES ARE PROVIDED FOR THESE ARCHIVED SERVERS.** -- 21st.dev Logo **[21st.dev Magic](https://github.com/21st-dev/magic-mcp)** - Create crafted UI components inspired by the best 21st.dev design engineers. -- Adfin Logo **[Adfin](https://github.com/Adfin-Engineering/mcp-server-adfin)** - The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with [Adfin](https://www.adfin.com/). -- AgentQL Logo **[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/). -- AgentRPC Logo **[AgentRPC](https://github.com/agentrpc/agentrpc)** - Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/). -- Aiven Logo **[Aiven](https://github.com/Aiven-Open/mcp-aiven)** - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services -- Alibaba Cloud RDS MySQL Logo **[Alibaba Cloud RDS](https://github.com/aliyun/alibabacloud-rds-openapi-mcp-server)** - An MCP server designed to interact with the Alibaba Cloud RDS OpenAPI, enabling programmatic management of RDS resources via an LLM. -- Alibaba Cloud AnalyticDB for MySQL Logo **[Alibaba Cloud AnalyticDB for MySQL](https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server)** - Connect to a [AnalyticDB for MySQL](https://www.alibabacloud.com/en/product/analyticdb-for-mysql) cluster for getting database or table metadata, querying and analyzing data.It will be supported to add the openapi for cluster operation in the future. -- Alibaba Cloud OPS Logo **[Alibaba Cloud OPS](https://github.com/aliyun/alibaba-cloud-ops-mcp-server)** - Manage the lifecycle of your Alibaba Cloud resources with [CloudOps Orchestration Service](https://www.alibabacloud.com/en/product/oos) and Alibaba Cloud OpenAPI. -- Apache IoTDB Logo **[Apache IoTDB](https://github.com/apache/iotdb-mcp-server)** - MCP Server for [Apache IoTDB](https://github.com/apache/iotdb) database and its tools -- Apify Logo **[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more -- APIMatic Logo **[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic's API. -- Apollo Graph Logo **[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents -- Arize-Phoenix Logo **[Arize Phoenix](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)** - Inspect traces, manage prompts, curate datasets, and run experiments using [Arize Phoenix](https://github.com/Arize-ai/phoenix), an open-source AI and LLM observability tool. -- DataStax logo **[Astra DB](https://github.com/datastax/astra-db-mcp)** - Comprehensive tools for managing collections and documents in a [DataStax Astra DB](https://www.datastax.com/products/datastax-astra) NoSQL database with a full range of operations such as create, update, delete, find, and associated bulk actions. -- Atlan Logo **[Atlan](https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol)** - The Atlan Model Context Protocol server allows you to interact with the [Atlan](https://www.atlan.com/) services through multiple tools. -- Audiense Logo **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis. -- AWS Logo **[AWS](https://github.com/awslabs/mcp)** - Specialized MCP servers that bring AWS best practices directly to your development workflow. -- Axiom Logo **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language -- Microsoft Azure Logo **[Azure](https://github.com/Azure/azure-mcp)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more. -- Bankless Logo **[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state. -- BICScan Logo **[BICScan](https://github.com/ahnlabio/bicscan-mcp)** - Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names. -- Bitrise Logo **[Bitrise](https://github.com/bitrise-io/bitrise-mcp)** - Chat with your builds, CI, and [more](https://bitrise.io/blog/post/chat-with-your-builds-ci-and-more-introducing-the-bitrise-mcp-server). -- Box Logo **[Box](https://github.com/box-community/mcp-server-box)** - Interact with the Intelligent Content Management platform through Box AI. -- Browserbase Logo **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more) -- PortSwigger Logo **[Burp Suite](https://github.com/PortSwigger/mcp-server)** - MCP Server extension allowing AI clients to connect to [Burp Suite](https://portswigger.net) -- Cartesia logo **[Cartesia](https://github.com/cartesia-ai/cartesia-mcp)** - Connect to the [Cartesia](https://cartesia.ai/) voice platform to perform text-to-speech, voice cloning etc. -- **[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com). -- **[Chroma](https://github.com/chroma-core/chroma-mcp)** - Embeddings, vector search, document storage, and full-text search with the open-source AI application database -- Chronulus AI Logo **[Chronulus AI](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents. -- CircleCI Logo **[CircleCI](https://github.com/CircleCI-Public/mcp-server-circleci)** - Enable AI Agents to fix build failures from CircleCI. -- ClickHouse Logo **[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server. -- **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1) -- Codacy Logo **[Codacy](https://github.com/codacy/codacy-mcp-server/)** - Interact with [Codacy](https://www.codacy.com) API to query code quality issues, vulnerabilities, and coverage insights about your code. -- CodeLogic Logo **[CodeLogic](https://github.com/CodeLogicIncEngineering/codelogic-mcp-server)** - Interact with [CodeLogic](https://codelogic.com), a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight. -- Comet Logo **[Comet Opik](https://github.com/comet-ml/opik-mcp)** - Query and analyze your [Opik](https://github.com/comet-ml/opik) logs, traces, prompts and all other telemtry data from your LLMs in natural language. -- **[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs. -- **[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex. -- **[Couchbase](https://github.com/Couchbase-Ecosystem/mcp-server-couchbase)** - Interact with the data stored in Couchbase clusters. -- Dart Logo **[Dart](https://github.com/its-dart/dart-mcp-server)** - Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool -- DataHub Logo **[DataHub](https://github.com/acryldata/mcp-server-datahub)** - Search your data assets, traverse data lineage, write SQL queries, and more using [DataHub](https://datahub.com/) metadata. -- DexPaprika Logo **[DexPaprika (CoinPaprika)](https://github.com/coinpaprika/dexpaprika-mcp)** - Access real-time DEX data, liquidity pools, token information, and trading analytics across multiple blockchain networks with [DexPaprika](https://dexpaprika.com) by CoinPaprika. -- DevHub Logo **[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform -- DevRev Logo **[DevRev](https://github.com/devrev/mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. Sources listed [here](https://devrev.ai/docs/import#available-sources). -- Dynatrace Logo **[Dynatrace](https://github.com/dynatrace-oss/dynatrace-mcp)** - Manage and interact with the [Dynatrace Platform ](https://www.dynatrace.com/platform) for real-time observability and monitoring. -- E2B Logo **[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev) -- Edgee Logo **[Edgee](https://github.com/edgee-cloud/mcp-server-edgee)** - Deploy and manage [Edgee](https://www.edgee.cloud) components and projects -- EduBase Logo **[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities -- Elasticsearch Logo **[Elasticsearch](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch) -- eSignatures Logo **[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts. -- Exa Logo **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai) -- Fewsats Logo **[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com) -- Fibery Logo **[Fibery](https://github.com/Fibery-inc/fibery-mcp-server)** - Perform queries and entity operations in your [Fibery](https://fibery.io) workspace. -- Financial Datasets Logo **[Financial Datasets](https://github.com/financial-datasets/mcp-server)** - Stock market API made for AI agents -- Firecrawl Logo **[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev) -- Fireproof Logo **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization -- GibsonAI Logo **[GibsonAI](https://github.com/GibsonAI/mcp)** - AI-Powered Cloud databases: Build, migrate, and deploy database instances with AI -- Gitea Logo **[Gitea](https://gitea.com/gitea/gitea-mcp)** - Interact with Gitea instances with MCP. -- Gitee Logo **[Gitee](https://github.com/oschina/mcp-gitee)** - Gitee API integration, repository, issue, and pull request management, and more. -- Glean Logo **[Glean](https://github.com/gleanwork/mcp-server)** - Enterprise search and chat using Glean's API. -- Gyazo Logo **[Gyazo](https://github.com/nota/gyazo-mcp-server)** - Search, fetch, upload, and interact with Gyazo images, including metadata and OCR data. -- gotoHuman Logo **[gotoHuman](https://github.com/gotohuman/gotohuman-mcp-server)** - Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox. -- Grafana Logo **[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance -- Grafbase Logo **[Grafbase](https://github.com/grafbase/grafbase/tree/main/crates/mcp)** - Turn your GraphQL API into an efficient MCP server with schema intelligence in a single command. -- Graphlit Logo **[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project. -- Greptime Logo **[GreptimeDB](https://github.com/GreptimeTeam/greptimedb-mcp-server)** - Provides AI assistants with a secure and structured way to explore and analyze data in [GreptimeDB](https://github.com/GreptimeTeam/greptimedb). -- Heroku Logo **[Heroku](https://github.com/heroku/heroku-mcp-server)** - Interact with the Heroku Platform through LLM-driven tools for managing apps, add-ons, dynos, databases, and more. -- Hologres Logo **[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data. -- Honeycomb Logo **[Honeycomb](https://github.com/honeycombio/honeycomb-mcp)** Allows [Honeycomb](https://www.honeycomb.io/) Enterprise customers to query and analyze their data, alerts, dashboards, and more; and cross-reference production behavior with the codebase. -- HubSpot Logo **[HubSpot](https://developer.hubspot.com/mcp)** - Connect, manage, and interact with [HubSpot](https://www.hubspot.com/) CRM data -- Hyperbrowsers23 Logo **[Hyperbrowser](https://github.com/hyperbrowserai/mcp)** - [Hyperbrowser](https://www.hyperbrowser.ai/) is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. -- **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source -- ForeverVM Logo **[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox. -- Inbox Zero Logo **[Inbox Zero](https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server)** - AI personal assistant for email [Inbox Zero](https://www.getinboxzero.com) -- Inkeep Logo **[Inkeep](https://github.com/inkeep/mcp-server-python)** - RAG Search over your content powered by [Inkeep](https://inkeep.com) -- Integration App Icon **[Integration App](https://github.com/integration-app/mcp-server)** - Interact with any other SaaS applications on behalf of your customers. -- **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs -- Kagi Logo **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API -- Keboola Logo **[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform. -- Klavis Logo **[Klavis ReportGen](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/report_generation)** - Create professional reports from a simple user query. -- KWDB Logo **[KWDB](https://github.com/KWDB/kwdb-mcp-server)** - Reading, writing, querying, modifying data, and performing DDL operations with data in your KWDB Database. -- Lara Translate Logo **[Lara Translate](https://github.com/translated/lara-mcp)** - MCP Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations. -- Logfire Logo **[Logfire](https://github.com/pydantic/logfire-mcp)** - Provides access to OpenTelemetry traces and metrics through Logfire. -- Langfuse Logo **[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts. -- Linear Logo **[Linear](https://linear.app/docs/mcp)** - Search, create, and update Linear issues, projects, and comments. -- Lingo.dev Logo **[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine. -- Litmus.io Logo **[Litmus.io](https://github.com/litmusautomation/litmus-mcp-server)** - Official MCP server for configuring [Litmus](https://litmus.io) Edge for Industrial Data Collection, Edge Analytics & Industrial AI. -- Mailgun Logo **[Mailgun](https://github.com/mailgun/mailgun-mcp-server)** - Interact with Mailgun API. -- Make Logo **[Make](https://github.com/integromat/make-mcp-server)** - Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants. -- MCP Toolbox for Databases Logo **[MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox)** - Open source MCP server specializing in easy, fast, and secure tools for Databases. Supports AlloyDB, BigQuery, Bigtable, Cloud SQL, Dgraph, MySQL, Neo4j, Postgres, Spanner, and more. -- Meilisearch Logo **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API) -- Memgraph Logo **[Memgraph](https://github.com/memgraph/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database. -- **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro -- Microsoft Clarity Logo **[Microsoft Clarity](https://github.com/microsoft/clarity-mcp-server)** - Official MCP Server to get your behavioral analytics data and insights from [Clarity](https://clarity.microsoft.com) -- **[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database. -- **[Momento](https://github.com/momentohq/mcp-momento)** - Momento Cache lets you quickly improve your performance, reduce costs, and handle load at any scale. -- **[MongoDB](https://github.com/mongodb-js/mongodb-mcp-server)** - Both MongoDB Community Server and MongoDB Atlas are supported. -- MotherDuck Logo **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB -- Needle AI Logo **[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents. -- Neo4j Logo **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory -- Neon Logo **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform -- Netlify Logo **[Netlify](https://docs.netlify.com/welcome/build-with-ai/netlify-mcp-server/)** - Create, build, deploy, and manage your websites with Netlify web platform. -- Notion Logo **[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API. -- OceanBase Logo **[OceanBase](https://github.com/oceanbase/mcp-oceanbase)** - MCP Server for OceanBase database and its tools -- Octagon Logo **[Octagon](https://github.com/OctagonAI/octagon-mcp-server)** - Deliver real-time investment research with extensive private and public market data. -- Ola Maps **[OlaMaps](https://pypi.org/project/ola-maps-mcp-server)** - Official Ola Maps MCP Server for services like geocode, directions, place details and many more. -- OP.GG Logo **[OP.GG](https://github.com/opgginc/opgg-mcp)** - Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and character statistics. -- OpsLevel **[OpsLevel](https://github.com/opslevel/opslevel-mcp)** - Official MCP Server for [OpsLevel](https://www.opslevel.com). -- Oxylabs Logo **[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction. -- Paddle Logo **[Paddle](https://github.com/PaddleHQ/paddle-mcp-server)** - Interact with the Paddle API. Manage product catalog, billing and subscriptions, and reports. -- Pagos Logo **[Pagos](https://github.com/pagos-ai/pagos-mcp)** - Interact with the Pagos API. Query Credit Card BIN Data with more to come. -- PayPal Logo **[PayPal](https://mcp.paypal.com)** - PayPal's official MCP server. -- Perplexity Logo **[Perplexity](https://github.com/ppl-ai/modelcontextprotocol)** - An MCP server that connects to Perplexity's Sonar API, enabling real-time web-wide research in conversational AI. -- **[Pinecone](https://github.com/pinecone-io/pinecone-mcp)** - [Pinecone](https://docs.pinecone.io/guides/operations/mcp-server)'s developer MCP Server assist developers in searching documentation and managing data within their development environment. -- **[Pinecone Assistant](https://github.com/pinecone-io/assistant-mcp)** - Retrieves context from your [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/mcp-server) knowledge base. -- Prisma Logo **[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases -- Pulumi Logo **[Pulumi](https://github.com/pulumi/mcp-server)** - Deploy and manage cloud infrastructure using [Pulumi](https://pulumi.com). -- Put.io Logo **[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents. -- **[Ragie](https://github.com/ragieai/ragie-mcp-server/)** - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more. -- **[Redis](https://github.com/redis/mcp-redis/)** - The Redis official MCP Server offers an interface to manage and search data in Redis. -- **[Redis Cloud API](https://github.com/redis/mcp-redis-cloud/)** - The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language. -- **[Snyk](https://github.com/snyk/snyk-ls/blob/main/mcp_extension/README.md)** - Enhance security posture by embedding [Snyk](https://snyk.io/) vulnerability scanning directly into agentic workflows. -- **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine -- **[Ramp](https://github.com/ramp-public/ramp-mcp)** - Interact with [Ramp](https://ramp.com)'s Developer API to run analysis on your spend and gain insights leveraging LLMs -- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account -- Rember Logo **[Rember](https://github.com/rember/rember-mcp)** - Create spaced repetition flashcards in [Rember](https://rember.com) to remember anything you learn in your chats -- Riza logo **[Riza](https://github.com/riza-io/riza-mcp)** - Arbitrary code execution and tool-use platform for LLMs by [Riza](https://riza.io) -- Root Signals Logo **[Root Signals](https://github.com/root-signals/root-signals-mcp)** - Improve and quality control your outputs with evaluations using LLM-as-Judge -- [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps -- ScreenshotOne Logo **[ScreenshotOne](https://github.com/screenshotone/mcp/)** - Render website screenshots with [ScreenshotOne](https://screenshotone.com/) -- Semgrep Logo **[Semgrep](https://github.com/semgrep/mcp)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/). -- **[SingleStore](https://github.com/singlestore-labs/mcp-server-singlestore)** - Interact with the SingleStore database platform -- StarRocks Logo **[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/) -- Stripe Logo **[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API -- Tavily Logo **[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/) -- Terraform Logo **[Terraform](https://github.com/hashicorp/terraform-mcp-server)** - Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by [Terraform](https://www.hashicorp.com/en/products/terraform) -- Thirdweb Logo **[Thirdweb](https://github.com/thirdweb-dev/ai/tree/main/python/thirdweb-mcp)** - Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by [Thirdweb](https://thirdweb.com/) -- Tianji Logo **[Tianji](https://github.com/msgbyte/tianji/tree/master/apps/mcp-server)** - Interact with Tianji platform whatever selfhosted or cloud platform, powered by [Tianji](https://tianji.msgbyte.com/). -- TiDB Logo **[TiDB](https://github.com/pingcap/pytidb)** - MCP Server to interact with TiDB database platform. -- Tinybird Logo **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform -- Tldv Logo **[Tldv](https://gitlab.com/tldv/tldv-mcp-server)** - Connect your AI agents to Google-Meet, Zoom & Microsoft Teams through [tl;dv](https://tldv.io) -- UnifAI Logo **[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network) -- Unstructured Logo **[Unstructured](https://github.com/Unstructured-IO/UNS-MCP)** - Set up and interact with your unstructured data processing workflows in [Unstructured Platform](https://unstructured.io) -- Upstash Logo **[Upstash](https://github.com/upstash/mcp-server)** - Manage Redis databases and run Redis commands on [Upstash](https://upstash.com/) with natural language. -- **[Vectorize](https://github.com/vectorize-io/vectorize-mcp-server/)** - [Vectorize](https://vectorize.io) MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking. -- Verbwire Logo **[Verbwire](https://github.com/verbwire/verbwire-mcp-server)** - Deploy smart contracts, mint NFTs, manage IPFS storage, and more through the Verbwire API -- Verodat Logo **[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform -- VeyraX Logo **[VeyraX](https://github.com/VeyraX/veyrax-mcp)** - Single tool to control all 100+ API integrations, and UI components -- WayStation Logo **[WayStation](https://github.com/waystation-ai/mcp)** - Universal MCP server to connect to popular productivity tools such as Notion, Monday, AirTable, and many more -- Xero Logo **[Xero](https://github.com/XeroAPI/xero-mcp-server)** - Interact with the accounting data in your business using our official MCP server -- YugabyteDB Logo **[YugabyteDB](https://github.com/yugabyte/yugabytedb-mcp-server)** - MCP Server to interact with your [YugabyteDB](https://www.yugabyte.com/) database -- Zapier Logo **[Zapier](https://zapier.com/mcp)** - Connect your AI Agents to 8,000 apps instantly. -- **[ZenML](https://github.com/zenml-io/mcp-zenml)** - Interact with your MLOps and LLMOps pipelines through your [ZenML](https://www.zenml.io) MCP server +- These servers are no longer maintained +- No security updates or bug fixes will be provided +- Use at your own risk +- For production use, please refer to the actively maintained servers repository linked above -### 🌎 Community Servers +## Archived Servers -A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains. +The following servers are included in this archive for historical reference: -> **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic. -- **[A2A](https://github.com/GongRzhe/A2A-MCP-Server)** - An MCP server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents. -- **[Ableton Live](https://github.com/Simon-Kansara/ableton-live-mcp-server)** - an MCP server to control Ableton Live. -- **[Ableton Live](https://github.com/ahujasid/ableton-mcp)** (by ahujasid) - Ableton integration allowing prompt enabled music creation. -- **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details. -- **[AI Agent Marketplace Index](https://github.com/AI-Agent-Hub/ai-agent-marketplace-index-mcp)** - MCP server to search more than 5000+ AI agents and tools of various categories from [AI Agent Marketplace Index](http://www.deepnlp.org/store/ai-agent) and monitor traffic of AI Agents. -- **[Algorand](https://github.com/GoPlausible/algorand-mcp)** - A comprehensive MCP server for tooling interactions (40+) and resource accessibility (60+) plus many useful prompts for interacting with the Algorand blockchain. -- **[Airflow](https://github.com/yangkyeongmo/mcp-server-apache-airflow)** - A MCP Server that connects to [Apache Airflow](https://airflow.apache.org/) using official python client. -- **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection. -- **[Airtable](https://github.com/felores/airtable-mcp)** - Airtable Model Context Protocol Server. -- **[AlphaVantage](https://github.com/calvernaz/alphavantage)** - MCP server for stock market data API [AlphaVantage](https://www.alphavantage.co) -- **[Amadeus](https://github.com/donghyun-chae/mcp-amadeus)** (by donghyun-chae) - An MCP server to access, explore, and interact with Amadeus Flight Offers Search API for retrieving detailed flight options, including airline, times, duration, and pricing data. -- **[Anki](https://github.com/scorzeth/anki-mcp-server)** - An MCP server for interacting with your [Anki](https://apps.ankiweb.net) decks and cards. -- **[Any Chat Completions](https://github.com/pyroprompts/any-chat-completions-mcp)** - Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more. -- **[Apache Gravitino(incubating)](https://github.com/datastrato/mcp-server-gravitino)** - Allow LLMs to explore metadata of structured data and unstructured data with Gravitino, and perform data governance tasks including tagging/classification. -- **[Apple Calendar](https://github.com/Omar-v2/mcp-ical)** - An MCP server that allows you to interact with your MacOS Calendar through natural language, including features such as event creation, modification, schedule listing, finding free time slots etc. -- **[Apple Script](https://github.com/peakmojo/applescript-mcp)** - MCP server that lets LLM run AppleScript code to to fully control anything on Mac, no setup needed. -- **[Aranet4](https://github.com/diegobit/aranet4-mcp-server)** - MCP Server to manage your Aranet4 CO2 sensor. Fetch data and store in a local SQLite. Ask questions about historical data. -- **[ArangoDB](https://github.com/ravenwits/mcp-server-arangodb)** - MCP Server that provides database interaction capabilities through [ArangoDB](https://arangodb.com/). -- **[Arduino](https://github.com/vishalmysore/choturobo)** - MCP Server that enables AI-powered robotics using Claude AI and Arduino (ESP32) for real-world automation and interaction with robots. -- **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata. -- **[Attestable MCP](https://github.com/co-browser/attestable-mcp-server)** - An MCP server running inside a trusted execution environment (TEE) via Gramine, showcasing remote attestation using [RA-TLS](https://gramine.readthedocs.io/en/stable/attestation.html). This allows an MCP client to verify the server before conencting. -- **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM. -- **[AWS Athena](https://github.com/lishenxydlgzs/aws-athena-mcp)** - A MCP server for AWS Athena to run SQL queries on Glue Catalog. -- **[AWS Cost Explorer](https://github.com/aarora79/aws-cost-explorer-mcp-server)** - Optimize your AWS spend (including Amazon Bedrock spend) with this MCP server by examining spend across regions, services, instance types and foundation models ([demo video](https://www.youtube.com/watch?v=WuVOmYLRFmI&feature=youtu.be)). -- **[AWS Resources Operations](https://github.com/baryhuang/mcp-server-aws-resources-python)** - Run generated python code to securely query or modify any AWS resources supported by boto3. -- **[AWS S3](https://github.com/aws-samples/sample-mcp-server-s3)** - A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents. -- **[Azure ADX](https://github.com/pab1it0/adx-mcp-server)** - Query and analyze Azure Data Explorer databases. -- **[Azure DevOps](https://github.com/Vortiago/mcp-azure-devops)** - An MCP server that provides a bridge to Azure DevOps services, enabling AI assistants to query and manage work items. -- **[Baidu AI Search](https://github.com/baidubce/app-builder/tree/master/python/mcp_server/ai_search)** - Web search with Baidu Cloud's AI Search -- **[Base Free USDC Transfer](https://github.com/magnetai/mcp-free-usdc-transfer)** - Send USDC on [Base](https://base.org) for free using Claude AI! Built with [Coinbase CDP](https://docs.cdp.coinbase.com/mpc-wallet/docs/welcome). -* **[Basic Memory](https://github.com/basicmachines-co/basic-memory)** - Local-first knowledge management system that builds a semantic graph from Markdown files, enabling persistent memory across conversations with LLMs. -- **[BigQuery](https://github.com/LucasHild/mcp-server-bigquery)** (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery. -- **[BigQuery](https://github.com/ergut/mcp-bigquery-server)** (by ergut) - Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities -- **[Bing Web Search API](https://github.com/leehanchung/bing-search-mcp)** (by hanchunglee) - Server implementation for Microsoft Bing Web Search API. -- **[Bitable MCP](https://github.com/lloydzhou/bitable-mcp)** (by lloydzhou) - MCP server provides access to Lark Bitable through the Model Context Protocol. It allows users to interact with Bitable tables using predefined tools. -- **[Blender](https://github.com/ahujasid/blender-mcp)** (by ahujasid) - Blender integration allowing prompt enabled 3D scene creation, modeling and manipulation. -- **[BreakoutRoom](https://github.com/agree-able/room-mcp)** - Agents accomplishing goals together in p2p rooms -- **[browser-use](https://github.com/co-browser/browser-use-mcp-server)** (by co-browser) - browser-use MCP server with dockerized playwright + chromium + vnc. supports stdio & resumable http. -- **[Bsc-mcp](https://github.com/TermiX-official/bsc-mcp)** The first MCP server that serves as the bridge between AI and BNB Chain, enabling AI agents to execute complex on-chain operations through seamless integration with the BNB Chain, including transfer, swap, launch, security check on any token and even more. -- **[Calculator](https://github.com/githejie/mcp-server-calculator)** - This server enables LLMs to use calculator for precise numerical calculations. -- **[CFBD API](https://github.com/lenwood/cfbd-mcp-server)** - An MCP server for the [College Football Data API](https://collegefootballdata.com/). -- **[ChatMCP](https://github.com/AI-QL/chat-mcp)** – An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs, by **[AIQL](https://github.com/AI-QL)** -- **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so) -- **[Chess.com](https://github.com/pab1it0/chess-mcp)** - Access Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information. -- **[Chroma](https://github.com/privetin/chroma)** - Vector database server for semantic document search and metadata filtering, built on Chroma -- **[ClaudePost](https://github.com/ZilongXue/claude-post)** - ClaudePost enables seamless email management for Gmail, offering secure features like email search, reading, and sending. -- **[ClickUp](https://github.com/TaazKareem/clickup-mcp-server)** - MCP server for ClickUp task management, supporting task creation, updates, bulk operations, and markdown descriptions. -- **[Cloudinary](https://github.com/felores/cloudinary-mcp-server)** - Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details. -- **[code-assistant](https://github.com/stippi/code-assistant)** - A coding assistant MCP server that allows to explore a code-base and make changes to code. Should be used with trusted repos only (insufficient protection against prompt injections). -- **[code-executor](https://github.com/bazinga012/mcp_code_executor)** - An MCP server that allows LLMs to execute Python code within a specified Conda environment. -- **[code-sandbox-mcp](https://github.com/Automata-Labs-team/code-sandbox-mcp)** - An MCP server to create secure code sandbox environment for executing code within Docker containers. -- **[consul-mcp](https://github.com/kocierik/consul-mcp-server)** - A consul MCP server for service management, health check and Key-Value Store -- **[cognee-mcp](https://github.com/topoteretes/cognee/tree/main/cognee-mcp)** - GraphRAG memory server with customizable ingestion, data processing and search -- **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)** - Provides access to [coinmarketcap](https://coinmarketcap.com/) cryptocurrency data. -- **[CoinMarketCap](https://github.com/shinzo-labs/coinmarketcap-mcp)** - Implements the complete [CoinMarketCap](https://coinmarketcap.com/) API for accessing cryptocurrency market data, exchange information, and other blockchain-related metrics. -- **[Computer-Use - Remote MacOS Use](https://github.com/baryhuang/mcp-remote-macos-use)** - Open-source out-of-the-box alternative to OpenAI Operator, providing a full desktop experience and optimized for using remote macOS machines as autonomous AI agents. -- **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server. -- **[CreateveAI Nexus](https://github.com/spgoodman/createveai-nexus-server)** - Open-Source Bridge Between AI Agents and Enterprise Systems, with simple custom API plug-in capabilities (including close compatibility with ComfyUI nodes), support for Copilot Studio's MCP agent integations, and support for Azure deployment in secure environments with secrets stored in Azure Key Vault, as well as straightforward on-premises deployment. -- **[crypto-feargreed-mcp](https://github.com/kukapay/crypto-feargreed-mcp)** - Providing real-time and historical Crypto Fear & Greed Index data. -- **[crypto-indicators-mcp](https://github.com/kukapay/crypto-indicators-mcp)** - An MCP server providing a range of cryptocurrency technical analysis indicators and strategies. -- **[crypto-sentiment-mcp](https://github.com/kukapay/crypto-sentiment-mcp)** - An MCP server that delivers cryptocurrency sentiment analysis to AI agents. -- **[cryptopanic-mcp-server](https://github.com/kukapay/cryptopanic-mcp-server)** - Providing latest cryptocurrency news to AI agents, powered by CryptoPanic. -- **[Dappier](https://github.com/DappierAI/dappier-mcp)** - Connect LLMs to real-time, rights-cleared, proprietary data from trusted sources. Access specialized models for Real-Time Web Search, News, Sports, Financial Data, Crypto, and premium publisher content. Explore data models at [marketplace.dappier.com](https://marketplace.dappier.com/marketplace). -- **[Databricks](https://github.com/JordiNeil/mcp-databricks-server)** - Allows LLMs to run SQL queries, list and get details of jobs executions in a Databricks account. -- **[Datadog](https://github.com/GeLi2001/datadog-mcp-server)** - Datadog MCP Server for application tracing, monitoring, dashboard, incidents queries built on official datadog api. -- **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution! -- **[DaVinci Resolve](https://github.com/samuelgursky/davinci-resolve-mcp)** - MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control. -- **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export -- **[DataWorks](https://github.com/aliyun/alibabacloud-dataworks-mcp-server)** - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the [DataWorks](https://www.alibabacloud.com/help/en/dataworks/) Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly. -- **[DBHub](https://github.com/bytebase/dbhub/)** - Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc. -- **[Deebo](https://github.com/snagasuri/deebo-prototype)** – Agentic debugging MCP server that helps AI coding agents delegate and fix hard bugs through isolated multi-agent hypothesis testing. -- **[Deep Research](https://github.com/reading-plus-ai/mcp-server-deep-research)** - Lightweight MCP server offering Grok/OpenAI/Gemini/Perplexity-style automated deep research exploration and structured reporting. -- **[DeepSeek MCP Server](https://github.com/DMontgomery40/deepseek-mcp-server)** - Model Context Protocol server integrating DeepSeek's advanced language models, in addition to [other useful API endpoints](https://github.com/DMontgomery40/deepseek-mcp-server?tab=readme-ov-file#features) -- **[Deepseek_R1](https://github.com/66julienmartin/MCP-server-Deepseek_R1)** - A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3) -- **[deepseek-thinker-mcp](https://github.com/ruixingshi/deepseek-thinker-mcp)** - A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server. -- **[Descope](https://github.com/descope-sample-apps/descope-mcp-server)** - An MCP server to integrate with [Descope](https://descope.com) to search audit logs, manage users, and more. -- **[DevDb](https://github.com/damms005/devdb-vscode?tab=readme-ov-file#mcp-configuration)** - An MCP server that runs right inside the IDE, for connecting to MySQL, Postgres, SQLite, and MSSQL databases. -- **[Dicom](https://github.com/ChristianHinge/dicom-mcp)** - An MCP server to query and retrieve medical images and for parsing and reading dicom-encapsulated documents (pdf etc.). -- **[Dify](https://github.com/YanxingLiu/dify-mcp-server)** - A simple implementation of an MCP server for dify workflows. -- **[Discord](https://github.com/v-3/discordmcp)** - A MCP server to connect to Discord guilds through a bot and read and write messages in channels -- **[Discord](https://github.com/SaseQ/discord-mcp)** - A MCP server, which connects to Discord through a bot, and provides comprehensive integration with Discord. -- **[Discord](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/discord)** - For Discord API integration by Klavis AI -- **[Discourse](https://github.com/AshDevFr/discourse-mcp-server)** - A MCP server to search Discourse posts on a Discourse forum. -- **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks. -- **[DPLP](https://github.com/szeider/mcp-dblp)** - Searches the [DBLP](https://dblp.org) computer science bibliography database. -- **[Drupal](https://github.com/Omedia/mcp-server-drupal)** - Server for interacting with [Drupal](https://www.drupal.org/project/mcp) using STDIO transport layer. -- **[dune-analytics-mcp](https://github.com/kukapay/dune-analytics-mcp)** - A mcp server that bridges Dune Analytics data to AI agents. -- **[EdgeOne Pages MCP](https://github.com/TencentEdgeOne/edgeone-pages-mcp)** - An MCP service for deploying HTML content to EdgeOne Pages and obtaining a publicly accessible URL. -- **[Edwin](https://github.com/edwin-finance/edwin/tree/main/examples/mcp-server)** - MCP server for edwin SDK - enabling AI agents to interact with DeFi protocols across EVM, Solana and other blockchains. -- **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)** - MCP server implementation that provides Elasticsearch interaction. -- **[ElevenLabs](https://github.com/mamertofabian/elevenlabs-mcp-server)** - A server that integrates with ElevenLabs text-to-speech API capable of generating full voiceovers with multiple voices. -- **[Email](https://github.com/Shy2593666979/mcp-server-email)** - This server enables users to send emails through various email providers, including Gmail, Outlook, Yahoo, Sina, Sohu, 126, 163, and QQ Mail. It also supports attaching files from specified directories, making it easy to upload attachments along with the email content. -- **[Ergo Blockchain MCP](https://github.com/marctheshark3/ergo-mcp)** -An MCP server to integrate Ergo Blockchain Node and Explorer APIs for checking address balances, analyzing transactions, viewing transaction history, performing forensic analysis of addresses, searching for tokens, and monitoring network status. -- **[Eunomia](https://github.com/whataboutyou-ai/eunomia-MCP-server)** - Extension of the Eunomia framework that connects Eunomia instruments with MCP servers -- **[EVM MCP Server](https://github.com/mcpdotdirect/evm-mcp-server)** - Comprehensive blockchain services for 30+ EVM networks, supporting native tokens, ERC20, NFTs, smart contracts, transactions, and ENS resolution. -- **[Everything Search](https://github.com/mamertofabian/mcp-everything-search)** - Fast file searching capabilities across Windows (using [Everything SDK](https://www.voidtools.com/support/everything/sdk/)), macOS (using mdfind command), and Linux (using locate/plocate command). -- **[Excel](https://github.com/haris-musa/excel-mcp-server)** - Excel manipulation including data reading/writing, worksheet management, formatting, charts, and pivot table. -- **[Fantasy PL](https://github.com/rishijatia/fantasy-pl-mcp)** - Give your coding agent direct access to up-to date Fantasy Premier League data -- **[fastn.ai – Unified API MCP Server](https://github.com/fastnai/mcp-fastn)** - A remote, dynamic MCP server with a unified API that connects to 1,000+ tools, actions, and workflows, featuring built-in authentication and monitoring. -- **[Federal Reserve Economic Data (FRED)](https://github.com/stefanoamorelli/fred-mcp-server)** (by Stefano Amorelli) - Community developed MCP server to interact with the Federal Reserve Economic Data. -- **[FDIC BankFind MCP Server - (Unofficial)](https://github.com/clafollett/fdic-bank-find-mcp-server)** - The is a MCPserver that brings the power of FDIC BankFind APIs straight to your AI tools and workflows. Structured U.S. banking data, delivered with maximum vibes. 😎📊 -- **[Fetch](https://github.com/zcaceres/fetch-mcp)** - A server that flexibly fetches HTML, JSON, Markdown, or plaintext. -- **[Fingertip](https://github.com/fingertip-com/fingertip-mcp)** - MCP server for Fingertip.com to search and create new sites. -- **[Figma](https://github.com/GLips/Figma-Context-MCP)** - Give your coding agent direct access to Figma file data, helping it one-shot design implementation. -- **[Firebase](https://github.com/gannonh/firebase-mcp)** - Server to interact with Firebase services including Firebase Authentication, Firestore, and Firebase Storage. -- **[FireCrawl](https://github.com/vrknetha/mcp-server-firecrawl)** - Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting -- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)** - A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data. -- **[freqtrade-mcp](https://github.com/kukapay/freqtrade-mcp)** - An MCP server that integrates with the Freqtrade cryptocurrency trading bot. -- **[Ghost](https://github.com/MFYDev/ghost-mcp)** - A Model Context Protocol (MCP) server for interacting with Ghost CMS through LLM interfaces like Claude. -- **[Git](https://github.com/geropl/git-mcp-go)** - Allows LLM to interact with a local git repository, incl. optional push support. -- **[Github Actions](https://github.com/ko1ynnky/github-actions-mcp-server)** - A Model Context Protocol (MCP) server for interacting with Github Actions. -- **[GitHub Enterprise MCP](https://github.com/ddukbg/github-enterprise-mcp)** - A Model Context Protocol (MCP) server for interacting with GitHub Enterprise. -- **[Glean](https://github.com/longyi1207/glean-mcp-server)** - A server that uses Glean API to search and chat. -- **[Gmail](https://github.com/GongRzhe/Gmail-MCP-Server)** - A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support. -- **[Gmail Headless](https://github.com/baryhuang/mcp-headless-gmail)** - Remote hostable MCP server that can get and send Gmail messages without local credential or file system setup. -- **[Goal Story](https://github.com/hichana/goalstory-mcp)** - a Goal Tracker and Visualization Tool for personal and professional development. -- **[GOAT](https://github.com/goat-sdk/goat/tree/main/typescript/examples/by-framework/model-context-protocol)** - Run more than +200 onchain actions on any blockchain including Ethereum, Solana and Base. -- **[Godot](https://github.com/Coding-Solo/godot-mcp)** - A MCP server providing comprehensive Godot engine integration for project editing, debugging, and scene management. -- **[Golang Filesystem Server](https://github.com/mark3labs/mcp-filesystem-server)** - Secure file operations with configurable access controls built with Go! -- **[Goodnews](https://github.com/VectorInstitute/mcp-goodnews)** - A simple MCP server that delivers curated positive and uplifting news stories. -- **[Google Calendar](https://github.com/v-3/google-calendar)** - Integration with Google Calendar to check schedules, find time, and add/delete events -- **[Google Calendar](https://github.com/nspady/google-calendar-mcp)** - Google Calendar MCP Server for managing Google calendar events. Also supports searching for events by attributes like title and location. -- **[Google Custom Search](https://github.com/adenot/mcp-google-search)** - Provides Google Search results via the Google Custom Search API -- **[Google Sheets](https://github.com/xing5/mcp-google-sheets)** - Access and editing data to your Google Sheets. -- **[Google Sheets](https://github.com/rohans2/mcp-google-sheets)** - A MCP Server written in TypeScript to access and edit data in your Google Sheets. -- **[Google Tasks](https://github.com/zcaceres/gtasks-mcp)** - Google Tasks API Model Context Protocol Server. -- **[Google Vertex AI Search](https://github.com/ubie-oss/mcp-vertexai-search)** - Provides Google Vertex AI Search results by grounding a Gemini model with your own private data -- **[GraphQL Schema](https://github.com/hannesj/mcp-graphql-schema)** - Allow LLMs to explore large GraphQL schemas without bloating the context. -- **[HDW LinkedIn](https://github.com/horizondatawave/hdw-mcp-server)** - Access to profile data and management of user account with [HorizonDataWave.ai](https://horizondatawave.ai/). -- **[Heurist Mesh Agent](https://github.com/heurist-network/heurist-mesh-mcp-server)** - Access specialized web3 AI agents for blockchain analysis, smart contract security, token metrics, and blockchain interactions through the [Heurist Mesh network](https://github.com/heurist-network/heurist-agent-framework/tree/main/mesh). -- **[Holaspirit](https://github.com/syucream/holaspirit-mcp-server)** - Interact with [Holaspirit](https://www.holaspirit.com/). -- **[Home Assistant](https://github.com/tevonsb/homeassistant-mcp)** - Interact with [Home Assistant](https://www.home-assistant.io/) including viewing and controlling lights, switches, sensors, and all other Home Assistant entities. -- **[Home Assistant](https://github.com/voska/hass-mcp)** - Docker-ready MCP server for Home Assistant with entity management, domain summaries, automation support, and guided conversations. Includes pre-built container images for easy installation. -- **[HubSpot](https://github.com/buryhuang/mcp-hubspot)** - HubSpot CRM integration for managing contacts and companies. Create and retrieve CRM data directly through Claude chat. -- **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)** - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration. -- **[Hyperliquid](https://github.com/mektigboy/server-hyperliquid)** - An MCP server implementation that integrates the Hyperliquid SDK for exchange data. -- **[hyprmcp](https://github.com/stefanoamorelli/hyprmcp)** (by Stefano Amorelli) - Lightweight MCP server for `hyprland`. -- **[iFlytek Workflow](https://github.com/iflytek/ifly-workflow-mcp-server)** - Connect to iFlytek Workflow via the MCP server and run your own Agent. -- **[Image Generation](https://github.com/GongRzhe/Image-Generation-MCP-Server)** - This MCP server provides image generation capabilities using the Replicate Flux model. -- **[InfluxDB](https://github.com/idoru/influxdb-mcp-server)** - Run queries against InfluxDB OSS API v2. -- **[Inoyu](https://github.com/sergehuber/inoyu-mcp-unomi-server)** - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles -- **[interactive-mcp](https://github.com/ttommyth/interactive-mcp)** - Enables interactive LLM workflows by adding local user prompts and chat capabilities directly into the MCP loop. -- **[Intercom](https://github.com/raoulbia-ai/mcp-server-for-intercom)** - An MCP-compliant server for retrieving customer support tickets from Intercom. This tool enables AI assistants like Claude Desktop and Cline to access and analyze your Intercom support tickets. -- **[iOS Simulator](https://github.com/InditexTech/mcp-server-simulator-ios-idb)** - A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators (iPhone, iPad, etc.) through natural language commands. -- **[iTerm MCP](https://github.com/ferrislucas/iterm-mcp)** - Integration with iTerm2 terminal emulator for macOS, enabling LLMs to execute and monitor terminal commands. -- [iTerm MCP Server](https://github.com/rishabkoul/iTerm-MCP-Server) - A Model Context Protocol (MCP) server implementation for iTerm2 terminal integration. Able to manage multiple iTerm Sessions -- **[JavaFX](https://github.com/mcpso/mcp-server-javafx)** - Make drawings using a JavaFX canvas -- **[JDBC](https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc)** - Connect to any JDBC-compatible database and query, insert, update, delete, and more. Supports MySQL, PostgreSQL, Oracle, SQL Server, sqllite and [more](https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc#supported-jdbc-variants). -- **[JMeter](https://github.com/QAInsights/jmeter-mcp-server)** - Run load testing using Apache JMeter via MCP-compliant tools. -- **[JSON](https://github.com/GongRzhe/JSON-MCP-Server)** - JSON handling and processing server with advanced query capabilities using JSONPath syntax and support for array, string, numeric, and date operations. -- **[Jupyter Notebook](https://github.com/jjsantos01/jupyter-notebook-mcp)** - connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks. This integration enables AI-assisted code execution, data analysis, visualization, and more. -- **[jupiter-mcp](https://github.com/kukapay/jupiter-mcp)** - An MCP server for executing token swaps on the Solana blockchain using Jupiter's new Ultra API. -- **[k8s-multicluster-mcp](https://github.com/razvanmacovei/k8s-multicluster-mcp)** - An MCP server for interact with multiple Kubernetes clusters simultaneously using multiple kubeconfig files. -- **[KiCad MCP](https://github.com/lamaalrajih/kicad-mcp)** - MCP server for KiCad on Mac, Windows, and Linux. -- **[Keycloak MCP](https://github.com/ChristophEnglisch/keycloak-model-context-protocol)** - This MCP server enables natural language interaction with Keycloak for user and realm management including creating, deleting, and listing users and realms. -- **[Kibana MCP](https://github.com/TocharianOU/mcp-server-kibana.git)** (by TocharianOU) - A community-maintained MCP server implementation that allows any MCP-compatible client to access and manage Kibana instances through natural language or programmatic requests. -- **[Kibela](https://github.com/kiwamizamurai/mcp-kibela-server)** (by kiwamizamurai) - Interact with Kibela API. -- **[kintone](https://github.com/macrat/mcp-server-kintone)** - Manage records and apps in [kintone](https://kintone.com) through LLM tools. -- **[Kong Konnect](https://github.com/Kong/mcp-konnect)** - A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics. -- **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services. -- **[Kubernetes and OpenShift](https://github.com/manusa/kubernetes-mcp-server)** - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster. -- **[Langflow-DOC-QA-SERVER](https://github.com/GongRzhe/Langflow-DOC-QA-SERVER)** - A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend. -- **[Lark(Feishu)](https://github.com/kone-net/mcp_server_lark)** - A Model Context Protocol(MCP) server for Lark(Feishu) sheet, message, doc and etc. -- **[Lightdash](https://github.com/syucream/lightdash-mcp-server)** - Interact with [Lightdash](https://www.lightdash.com/), a BI tool. -- **[lsp-mcp](https://github.com/Tritlo/lsp-mcp)** - Interact with Language Servers usint the Language Server Protocol to provide additional context information via hover, code actions and completions. -- **[Linear](https://github.com/tacticlaunch/mcp-linear)** - Interact with Linear project management system. -- **[Linear](https://github.com/jerhadf/linear-mcp-server)** - Allows LLM to interact with Linear's API for project management, including searching, creating, and updating issues. -- **[Linear (Go)](https://github.com/geropl/linear-mcp-go)** - Allows LLM to interact with Linear's API via a single static binary. -- **[LINE](https://github.com/amornpan/py-mcp-line)** (by amornpan) - Implementation for LINE Bot integration that enables Language Models to read and analyze LINE conversations through a standardized interface. Features asynchronous operation, comprehensive logging, webhook event handling, and support for various message types. -- **[LlamaCloud](https://github.com/run-llama/mcp-server-llamacloud)** (by marcusschiesser) - Integrate the data stored in a managed index on [LlamaCloud](https://cloud.llamaindex.ai/) -- **[lldb-mcp](https://github.com/stass/lldb-mcp)** - A Model Context Protocol server for LLDB that provides LLM-driven debugging. -- **[llm-context](https://github.com/cyberchitta/llm-context.py)** - Provides a repo-packing MCP tool with configurable profiles that specify file inclusion/exclusion patterns and optional prompts. -- **[LottieFiles](https://github.com/junmer/mcp-server-lottiefiles)** - Searching and retrieving Lottie animations from [LottieFiles](https://lottiefiles.com/) -- **[lucene-mcp-server](https://github.com/VivekKumarNeu/MCP-Lucene-Server)** - spring boot server using Lucene for fast document search and management. -- **[mac-messages-mcp](https://github.com/carterlasalle/mac_messages_mcp)** - An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages. -- **[MalwareBazaar_MCP](https://github.com/mytechnotalent/MalwareBazaar_MCP)** (by Kevin Thomas) - An AI-driven MCP server that autonomously interfaces with MalwareBazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows. -- **[MariaDB](https://github.com/abel9851/mcp-server-mariadb)** - MariaDB database integration with configurable access controls in Python. -- **[Markdown2doc](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/pandoc)** - Convert between various file formats using Pandoc -- **[Markitdown](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/markitdown)** - Convert files to Markdown -- **[Maton](https://github.com/maton-ai/agent-toolkit/tree/main/modelcontextprotocol)** - Connect to your SaaS tools like HubSpot, Salesforce, and more. -- **[MCP Compass](https://github.com/liuyoshio/mcp-compass)** - Suggest the right MCP server for your needs -- **[MCP Create](https://github.com/tesla0225/mcp-create)** - A dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers on-the-fly. -- **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you. -- **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)** - Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more. Built to be extensible. -- **[mcp-local-rag](https://github.com/nkapila6/mcp-local-rag)** - "primitive" RAG-like web search model context protocol (MCP) server that runs locally using Google's MediaPipe Text Embedder and DuckDuckGo Search. ✨ no APIs required ✨. -- **[mcp-proxy](https://github.com/sparfenyuk/mcp-proxy)** - Connect to MCP servers that run on SSE transport, or expose stdio servers as an SSE server. -- **[MCP Proxy Server](https://github.com/TBXark/mcp-proxy)** - An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP server. -- **[mcp-salesforce](https://github.com/lciesielski/mcp-salesforce-example)** - MCP server with basic demonstration of interactions with your Salesforce instance -- **[mem0-mcp](https://github.com/mem0ai/mem0-mcp)** - A Model Context Protocol server for Mem0, which helps with managing coding preferences. -- **[Membase](https://github.com/unibaseio/membase-mcp)** - Save and query your agent memory in distributed way by Membase. -- **[MetaTrader MCP](https://github.com/ariadng/metatrader-mcp-server)** - Enable AI LLMs to execute trades using MetaTrader 5 platform. -- **[Metricool MCP](https://github.com/metricool/mcp-metricool)** - A Model Context Protocol server that integrates with Metricool's social media analytics platform to retrieve performance metrics and schedule content across networks like Instagram, Facebook, Twitter, LinkedIn, TikTok and YouTube. -- **[MSSQL](https://github.com/aekanun2020/mcp-server/)** - MSSQL database integration with configurable access controls and schema inspection -- **[MSSQL](https://github.com/JexinSam/mssql_mcp_server)** (by jexin) - MCP Server for MSSQL database in Python -- **[MSSQL-Python](https://github.com/amornpan/py-mcp-mssql)** (by amornpan) - A read-only Python implementation for MSSQL database access with enhanced security features, configurable access controls, and schema inspection capabilities. Focuses on safe database interaction through Python ecosystem. -- **[MSSQL-MCP](https://github.com/daobataotie/mssql-mcp)** (by daobataotie) - MSSQL MCP that refer to the official website's SQLite MCP for modifications to adapt to MSSQL -- **[Markdownify](https://github.com/zcaceres/mcp-markdownify-server)** - MCP to convert almost anything to Markdown (PPTX, HTML, PDF, Youtube Transcripts and more) -- **[Microsoft Teams](https://github.com/InditexTech/mcp-teams-server)** - MCP server that integrates Microsoft Teams messaging (read, post, mention, list members and threads) -- **[Mifos X](https://github.com/openMF/mcp-mifosx)** - A MCP server for the Mifos X Open Source Banking useful for managing clients, loans, savings, shares, financial transactions and generating financial reports. -- **[Mikrotik](https://github.com/jeff-nasseri/mikrotik-mcp)** - Mikrotik MCP server which cover networking operations (IP, DHCP, Firewall, etc) -- **[Mindmap](https://github.com/YuChenSSR/mindmap-mcp-server)** (by YuChenSSR) - A server that generates mindmaps from input containing markdown code. -- **[Minima](https://github.com/dmayboroda/minima)** - MCP server for RAG on local files -- **[Mobile MCP](https://github.com/mobile-next/mobile-mcp)** (by Mobile Next) - MCP server for Mobile(iOS/Android) automation, app scraping and development using physical devices or simulators/emulators. -- **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB. -- **[MongoDB Lens](https://github.com/furey/mongodb-lens)** - Full Featured MCP Server for MongoDB Databases. -- **[Monday.com](https://github.com/sakce/mcp-server-monday)** - MCP Server to interact with Monday.com boards and items. -- **[Morningstar](https://github.com/Morningstar/morningstar-mcp-server)** - MCP Server to interact with Morningstar Research, Editorial and Datapoints -- **[Multicluster-MCP-Sever](https://github.com/yanmxa/multicluster-mcp-server)** - The gateway for GenAI systems to interact with multiple Kubernetes clusters. -- **[Multi-Model Advisor](https://github.com/YuChenSSR/multi-ai-advisor-mcp)** - A Model Context Protocol (MCP) server that orchestrates queries across multiple Ollama models, synthesizing their insights to deliver a comprehensive and multifaceted AI perspective on any given query. -- **[MySQL](https://github.com/benborla/mcp-server-mysql)** (by benborla) - MySQL database integration in NodeJS with configurable access controls and schema inspection -- **[MySQL](https://github.com/designcomputer/mysql_mcp_server)** (by DesignComputer) - MySQL database integration in Python with configurable access controls and schema inspection -- **[n8n](https://github.com/leonardsellem/n8n-mcp-server)** - This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions, including listing, creating, updating, and deleting workflows, as well as monitoring their execution status. -- **[NASA](https://github.com/ProgramComputer/NASA-MCP-server)** (by ProgramComputer) - Access to a unified gateway of NASA's data sources including but not limited to APOD, NEO, EPIC, GIBS. -- **[Nasdaq Data Link](https://github.com/stefanoamorelli/nasdaq-data-link-mcp)** (by stefanoamorelli) - An MCP server to access, explore, and interact with Nasdaq Data Link's extensive and valuable financial and economic datasets. -- **[National Parks](https://github.com/KyrieTangSheng/mcp-server-nationalparks)** - The server provides latest information of park details, alerts, visitor centers, campgrounds, hiking trails, and events for U.S. National Parks. -- **[NAVER](https://github.com/pfldy2850/py-mcp-naver)** (by pfldy2850) - This MCP server provides tools to interact with various Naver services, such as searching blogs, news, books, and more. -- **[NBA](https://github.com/Taidgh-Robinson/nba-mcp-server)** - This MCP server provides tools to fetch recent and historical NBA games including basic and advanced statistics. -- **[NS Travel Information](https://github.com/r-huijts/ns-mcp-server)** - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API. +- AWS KB Retrieval +- Brave Search +- EverArt +- Git +- GitHub +- GitLab +- Google Drive +- Google Maps +- PostgreSQL +- Puppeteer +- Redis +- Sentry +- Slack +- SQLite -- **[Neo4j](https://github.com/da-okazaki/mcp-neo4j-server)** - A community built server that interacts with Neo4j Graph Database. -- **[Neovim](https://github.com/bigcodegen/mcp-neovim-server)** - An MCP Server for your Neovim session. -- **[nomad-mcp](https://github.com/kocierik/mcp-nomad)** - A server that provides a set of tools for managing Nomad clusters through the MCP. -- **[Notion](https://github.com/suekou/mcp-notion-server)** (by suekou) - Interact with Notion API. -- **[Notion](https://github.com/v-3/notion-server)** (by v-3) - Notion MCP integration. Search, Read, Update, and Create pages through Claude chat. -- **[ntfy-mcp](https://github.com/teddyzxcv/ntfy-mcp)** (by teddyzxcv) - The MCP server that keeps you informed by sending the notification on phone using ntfy -- **[ntfy-me-mcp](https://github.com/gitmotion/ntfy-me-mcp)** (by gitmotion) - An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!) -- **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)** - C++ MCP integration for Oat++. Use [Oat++](https://oatpp.io) to build MCP servers. -- **[Obsidian Markdown Notes](https://github.com/calclavia/mcp-obsidian)** - Read and search through your Obsidian vault or any directory containing Markdown notes -- **[obsidian-mcp](https://github.com/StevenStavrakis/obsidian-mcp)** - (by Steven Stavrakis) An MCP server for Obsidian.md with tools for searching, reading, writing, and organizing notes. -- **[OceanBase](https://github.com/yuanoOo/oceanbase_mcp_server)** - (by yuanoOo) A Model Context Protocol (MCP) server that enables secure interaction with OceanBase databases. -- **[Office-PowerPoint-MCP-Server](https://github.com/GongRzhe/Office-PowerPoint-MCP-Server)** - A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft PowerPoint documents. -- **[Office-Visio-MCP-Server](https://github.com/GongRzhe/Office-Visio-MCP-Server)** - A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Visio documents. -- **[Office-Word-MCP-Server](https://github.com/GongRzhe/Office-Word-MCP-Server)** - A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Word documents. -- **[Okta](https://github.com/kapilduraphe/okta-mcp-server)** - Interact with Okta API. -- **[OneNote](https://github.com/rajvirtual/MCP-Servers/tree/master/onenote)** - (by Rajesh Vijay) An MCP server that connects to Microsoft OneNote using the Microsoft Graph API. Reading notebooks, sections, and pages from OneNote,Creating new notebooks, sections, and pages in OneNote. -- **[OpenAI WebSearch MCP](https://github.com/ConechoAI/openai-websearch-mcp)** - This is a Python-based MCP server that provides OpenAI `web_search` build-in tool. -- **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)** - Interact with [OpenAPI](https://www.openapis.org/) APIs. -- **[OpenAPI AnyApi](https://github.com/baryhuang/mcp-server-any-openapi)** - Interact with large [OpenAPI](https://www.openapis.org/) docs using built-in semantic search for endpoints. Allows for customizing the MCP server prefix. -- **[OpenAPI Schema](https://github.com/hannesj/mcp-openapi-schema)** - Allow LLMs to explore large [OpenAPI](https://www.openapis.org/) schemas without bloating the context. -- **[OpenCTI](https://github.com/Spathodea-Network/opencti-mcp)** - Interact with OpenCTI platform to retrieve threat intelligence data including reports, indicators, malware and threat actors. -- **[OpenDota](https://github.com/asusevski/opendota-mcp-server)** - Interact with OpenDota API to retrieve Dota 2 match data, player statistics, and more. -- **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)** - Interact with and discover JSON-RPC APIs via [OpenRPC](https://open-rpc.org). -- **[OpenWeather](https://github.com/mschneider82/mcp-openweather)** - Interact with the free openweathermap API to get the current and forecast weather for a location. -- **[Open Strategy Partners Marketing Tools](https://github.com/open-strategy-partners/osp_marketing_tools)** - Content editing codes, value map, and positioning tools for product marketing. -- **[Oura Ring](https://github.com/rajvirtual/oura-mcp-server)** (by Rajesh Vijay) - MCP Server to access and analyze your Oura Ring data. It provides a structured way to fetch and understand your health metrics. -- **[Outline](https://github.com/Vortiago/mcp-outline)** - MCP Server to interact with [Outline](https://www.getoutline.com) knowledge base to search, read, create, and manage documents and their content, access collections, add comments, and manage document backlinks. -- **[pancakeswap-poolspy-mcp](https://github.com/kukapay/pancakeswap-poolspy-mcp)** - An MCP server that tracks newly created liquidity pools on Pancake Swap. -- **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more. -- **[Paradex MCP](https://github.com/sv/mcp-paradex-py)** - MCP native server for interacting with Paradex platform, including fully features trading. -- **[Phone MCP](https://github.com/hao-cyber/phone-mcp)** - 📱 A powerful plugin that lets you control your Android phone. Enables AI agents to perform complex tasks like automatically playing music based on weather or making calls and sending texts. -- **[PIF](https://github.com/hungryrobot1/MCP-PIF)** - A Personal Intelligence Framework (PIF), providing tools for file operations, structured reasoning, and journal-based documentation to support continuity and evolving human-AI collaboration across sessions. -- **[Pinecone](https://github.com/sirmews/mcp-pinecone)** - MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone's Inference API. -- **[Placid.app](https://github.com/felores/placid-mcp-server)** - Generate image and video creatives using Placid.app templates -- **[Plane](https://github.com/kelvin6365/plane-mcp-server)** - This MCP Server will help you to manage projects and issues through Plane's API -- **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright -- **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests. -- **[Prefect](https://github.com/allen-munsch/mcp-prefect)** - MCP Server for workflow orchestration and ELT/ETL with Prefect Server, and Prefect Cloud [https://www.prefect.io/] using the `prefect` python client. -- **[Productboard](https://github.com/kenjihikmatullah/productboard-mcp)** - Integrate the Productboard API into agentic workflows via MCP. -- **[Prometheus](https://github.com/pab1it0/prometheus-mcp-server)** - Query and analyze Prometheus - open-source monitoring system. -- **[PubChem](https://github.com/sssjiang/pubchem_mcp_server)** - extract drug information from pubchem API. -- **[Pulumi](https://github.com/dogukanakkaya/pulumi-mcp-server)** - MCP Server to Interact with Pulumi API, creates and lists Stacks -- **[Puppeteer vision](https://github.com/djannot/puppeteer-vision-mcp)** - Use Puppeteer to browse a webpage and return a high quality Markdown. Use AI vision capabilities to handle cookies, captchas, and other interactive elements automatically. -- **[Pushover](https://github.com/ashiknesin/pushover-mcp)** - Send instant notifications to your devices using [Pushover.net](https://pushover.net/) -- **[Quarkus](https://github.com/quarkiverse/quarkus-mcp-servers)** - MCP servers for the Quarkus Java framework. -- **[QGIS](https://github.com/jjsantos01/qgis_mcp)** - connects QGIS to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more. -- **[QuickChart](https://github.com/GongRzhe/Quickchart-MCP-Server)** - A Model Context Protocol server for generating charts using QuickChart.io -- **[Qwen_Max](https://github.com/66julienmartin/MCP-server-Qwen_Max)** - A Model Context Protocol (MCP) server implementation for the Qwen models. -- **[RabbitMQ](https://github.com/kenliao94/mcp-server-rabbitmq)** - The MCP server that interacts with RabbitMQ to publish and consume messages. -- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's open-source RAG Web Browser [Actor](https://apify.com/apify/rag-web-browser) to perform web searches, scrape URLs, and return content in Markdown. -- **[Raindrop.io](https://github.com/hiromitsusasaki/raindrop-io-mcp-server)** - An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP). -- **[Reaper](https://github.com/dschuler36/reaper-mcp-server)** - Interact with your [Reaper](https://www.reaper.fm/) (Digital Audio Workstation) projects. -- **[Redis](https://github.com/GongRzhe/REDIS-MCP-Server)** - Redis database operations and caching microservice server with support for key-value operations, expiration management, and pattern-based key listing. -- **[Redis](https://github.com/prajwalnayak7/mcp-server-redis)** MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate -- **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval. -- **[Replicate](https://github.com/deepfates/mcp-replicate)** - Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images. -- **[Resend](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/resend)** - Send email using Resend services -- **[Rquest](https://github.com/xxxbrian/mcp-rquest)** - An MCP server providing realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints for bypassing anti-bot measures. -- **[Rijksmuseum](https://github.com/r-huijts/rijksmuseum-mcp)** - Interface with the Rijksmuseum API to search artworks, retrieve artwork details, access image tiles, and explore user collections. -- **[Riot Games](https://github.com/jifrozen0110/mcp-riot)** - MCP server for League of Legends – fetch player info, ranks, champion stats, and match history via Riot API. -- **[Salesforce MCP](https://github.com/salesforce-mcp/salesforce-mcp)** - Salesforce MCP server. Supports cloud version Salesforce-mcp.com and allows both data & metadata functions. -- **[Rust MCP Filesystem](https://github.com/rust-mcp-stack/rust-mcp-filesystem)** - Fast, asynchronous MCP server for efficient handling of various filesystem operations built with the power of Rust. -- **[Salesforce MCP](https://github.com/smn2gnt/MCP-Salesforce)** - Interact with Salesforce Data and Metadata -- **[Scholarly](https://github.com/adityak74/mcp-scholarly)** - A MCP server to search for scholarly and academic articles. -- **[scrapling-fetch](https://github.com/cyberchitta/scrapling-fetch-mcp)** - Access text content from bot-protected websites. Fetches HTML/markdown from sites with anti-automation measures using Scrapling. -- **[SearXNG](https://github.com/ihor-sokoliuk/mcp-searxng)** - A Model Context Protocol Server for [SearXNG](https://docs.searxng.org) -- **[SEC EDGAR](https://github.com/stefanoamorelli/sec-edgar-mcp)** - (by Stefano Amorelli) A community Model Context Protocol Server to access financial filings and data through the U.S. Securities and Exchange Commission ([SEC](https://www.sec.gov/)) `Electronic Data Gathering, Analysis, and Retrieval` ([EDGAR](https://www.sec.gov/submit-filings/about-edgar)) database -- **[ServiceNow](https://github.com/osomai/servicenow-mcp)** - A MCP server to interact with a ServiceNow instance -- **[Shodan MCP](https://github.com/Hexix23/shodan-mcp)** - MCP server to interact with [Shodan](https://www.shodan.io/) -- **[Shopify](https://github.com/GeLi2001/shopify-mcp)** - MCP to interact with Shopify API including order, product, customers and so on. -- **[Siri Shortcuts](https://github.com/dvcrn/mcp-server-siri-shortcuts)** - MCP to interact with Siri Shortcuts on macOS. Exposes all Shortcuts as MCP tools. -- **[Slack](https://github.com/korotovsky/slack-mcp-server)** - The most powerful MCP server for Slack Workspaces. This integration supports both Stdio and SSE transports, proxy settings and does not require any permissions or bots being created or approved by Workspace admins 😏. -- **[Snowflake](https://github.com/isaacwasserman/mcp-snowflake-server)** - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations. -- **[Solver](https://github.com/szeider/mcp-solver)** - Solves constraint satisfaction and optimization problems . -- **[SoccerDataAPI](https://github.com/yeonupark/mcp-soccer-data)** - This MCP server provides real-time football match data based on the SoccerDataAPI. -- **[Solana Agent Kit](https://github.com/sendaifun/solana-agent-kit/tree/main/examples/agent-kit-mcp-server)** - This MCP server enables LLMs to interact with the Solana blockchain with help of Solana Agent Kit by SendAI, allowing for 40+ protcool actions and growing -- **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify. -- **[Starwind UI](https://github.com/Boston343/starwind-ui-mcp/)** - This MCP provides relevant commands, documentation, and other information to allow LLMs to take full advantage of Starwind UI's open source Astro components. -- **[Strava](https://github.com/r-huijts/strava-mcp)** - Connect to the Strava API to access activity data, athlete profiles, segments, and routes, enabling fitness tracking and analysis with Claude. -- **[Stripe](https://github.com/atharvagupta2003/mcp-stripe)** - This MCP allows integration with Stripe for handling payments, customers, and refunds. -- **[ShaderToy](https://github.com/wilsonchenghy/ShaderToy-MCP)** - This MCP server lets LLMs to interact with the ShaderToy API, allowing LLMs to learn from compute shaders examples and enabling them to create complex GLSL shaders that they are previously not capable of. -- **[Talk To Figma](https://github.com/sonnylazuardi/cursor-talk-to-figma-mcp)** - This MCP server enables LLMs to interact with Figma, allowing them to read and modify designs programmatically. -- **[TMDB](https://github.com/Laksh-star/mcp-server-tmdb)** - This MCP server integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations. -- **[Tavily search](https://github.com/RamXX/mcp-tavily)** - An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions -- **[Telegram](https://github.com/chigwell/telegram-mcp)** - An MCP server that provides paginated chat reading, message retrieval, and message sending capabilities for Telegram through Telethon integration. -- **[Telegram-Client](https://github.com/chaindead/telegram-mcp)** - A Telegram API bridge that manages user data, dialogs, messages, drafts, read status, and more for seamless interactions. -- **[Teradata](https://github.com/arturborycki/mcp-teradata)** - his MCP server enables LLMs to interact with Teradata databases. This MCP Server support tools and prompts for multi task data analytics -- **[Terminal-Control](https://github.com/GongRzhe/terminal-controller-mcp)** - A MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface. -- **[TFT-Match-Analyzer](https://github.com/GeLi2001/tft-mcp-server)** - MCP server for teamfight tactics match history & match details fetching, providing user the detailed context for every match. -- **[thegraph-mcp](https://github.com/kukapay/thegraph-mcp)** - An MCP server that powers AI agents with indexed blockchain data from The Graph. -- **[Ticketmaster](https://github.com/delorenj/mcp-server-ticketmaster)** - Search for events, venues, and attractions through the Ticketmaster Discovery API -- **[TickTick](https://github.com/alexarevalo9/ticktick-mcp-server)** - A Model Context Protocol (MCP) server designed to integrate with the TickTick task management platform, enabling intelligent context-aware task operations and automation. -- **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Interact with Todoist to manage your tasks. -- **[token-minter-mcp](https://github.com/kukapay/token-minter-mcp)** - An MCP server providing tools for AI agents to mint ERC-20 tokens across multiple blockchains. -- **[token-revoke-mcp](https://github.com/kukapay/token-revoke-mcp)** - An MCP server for checking and revoking ERC-20 token allowances across multiple blockchains. -- **[Ton Blockchain MCP](https://github.com/devonmojito/ton-blockchain-mcp)** - An MCP server for interacting with Ton Blockchain. -- **[Typesense](https://github.com/suhail-ak-s/mcp-typesense-server)** - A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities. This server enables LLMs to discover, search, and analyze data stored in Typesense collections. -- **[Travel Planner](https://github.com/GongRzhe/TRAVEL-PLANNER-MCP-Server)** - Travel planning and itinerary management server integrating with Google Maps API for location search, place details, and route calculations. -- **[uniswap-poolspy-mcp](https://github.com/kukapay/uniswap-poolspy-mcp)** - An MCP server that tracks newly created liquidity pools on Uniswap across nine blockchain networks. -- **[uniswap-trader-mcp](https://github.com/kukapay/uniswap-trader-mcp)** -An MCP server for AI agents to automate token swaps on Uniswap DEX across multiple blockchains. -- **[Unity Catalog](https://github.com/ognis1205/mcp-server-unitycatalog)** - An MCP server that enables LLMs to interact with Unity Catalog AI, supporting CRUD operations on Unity Catalog Functions and executing them as MCP tools. -- **[Unity3d Game Engine](https://github.com/CoderGamester/mcp-unity)** - An MCP server that enables LLMs to interact with Unity3d Game Engine, supporting access to a variety of the Unit's Editor engine tools (e.g. Console Logs, Test Runner logs, Editor functions, hierarchy state, etc) and executing them as MCP tools or gather them as resources. -- **[Unity Integration (Advanced)](https://github.com/quazaai/UnityMCPIntegration)** - Advanced Unity3d Game Engine MCP which supports ,Execution of Any Editor Related Code Directly Inside of Unity, Fetch Logs, Get Editor State and Allow File Access of the Project making it much more useful in Script Editing or asset creation. -- **[Vega-Lite](https://github.com/isaacwasserman/mcp-vegalite-server)** - Generate visualizations from fetched data using the VegaLite format and renderer. -- **[Video Editor](https://github.com/burningion/video-editing-mcp)** - A Model Context Protocol Server to add, edit, and search videos with [Video Jungle](https://www.video-jungle.com/). -- **[Video Still Capture](https://github.com/13rac1/videocapture-mcp)** - 📷 Capture video stills from an OpenCV-compatible webcam or other video source. -- **[Virtual location (Google Street View,etc.)](https://github.com/mfukushim/map-traveler-mcp)** - Integrates Google Map, Google Street View, PixAI, Stability.ai, ComfyUI API and Bluesky to provide a virtual location simulation in LLM (written in Effect.ts) -- **[VolcEngine TOS](https://github.com/dinghuazhou/sample-mcp-server-tos)** - A sample MCP server for VolcEngine TOS that flexibly get objects from TOS. -- **[Wanaku MCP Router](https://github.com/wanaku-ai/wanaku/)** - The Wanaku MCP Router is a SSE-based MCP server that provides an extensible routing engine that allows integrating your enterprise systems with AI agents. -- **[Webflow](https://github.com/kapilduraphe/webflow-mcp-server)** - Interfact with the Webflow APIs -- **[whale-tracker-mcp](https://github.com/kukapay/whale-tracker-mcp)** - A mcp server for tracking cryptocurrency whale transactions. -- **[WhatsApp MCP Server](https://github.com/lharries/whatsapp-mcp)** - MCP server for your personal WhatsApp handling individuals, groups, searching and sending. -- **[Whois MCP](https://github.com/bharathvaj-ganesan/whois-mcp)** - MCP server that performs whois lookup against domain, IP, ASN and TLD. -- **[Wikidata MCP](https://github.com/zzaebok/mcp-wikidata)** - Wikidata MCP server that interact with Wikidata, by searching identifiers, extracting metadata, and executing sparql query. -- **[WildFly MCP](https://github.com/wildfly-extras/wildfly-mcp)** - WildFly MCP server that enables LLM to interact with running WildFly servers (retrieve metrics, logs, invoke operations, ...). -- **[Windows CLI](https://github.com/SimonB97/win-cli-mcp-server)** - MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells. -- **[World Bank data API](https://github.com/anshumax/world_bank_mcp_server)** - A server that fetches data indicators available with the World Bank as part of their data API -- **[X (Twitter)](https://github.com/EnesCinr/twitter-mcp)** (by EnesCinr) - Interact with twitter API. Post tweets and search for tweets by query. -- **[X (Twitter)](https://github.com/vidhupv/x-mcp)** (by vidhupv) - Create, manage and publish X/Twitter posts directly through Claude chat. -- **[Xcode](https://github.com/r-huijts/xcode-mcp-server)** - MCP server that brings AI to your Xcode projects, enabling intelligent code assistance, file operations, project management, and automated development tasks. -- **[xcodebuild](https://github.com/ShenghaiWang/xcodebuild)** - 🍎 Build iOS Xcode workspace/project and feed back errors to llm. -- **[Xero-mcp-server](https://github.com/john-zhang-dev/xero-mcp)** - Enabling clients to interact with Xero system for streamlined accounting, invoicing, and business operations. -- **[XiYan](https://github.com/XGenerationLab/xiyan_mcp_server)** - 🗄️ An MCP server that supports fetching data from a database using natural language queries, powered by XiyanSQL as the text-to-SQL LLM. -- **[XMind](https://github.com/apeyroux/mcp-xmind)** - Read and search through your XMind directory containing XMind files. -- **[YNAB](https://github.com/ChuckBryan/ynabmcpserver)** - A Model Context Protocol (MCP) server for integrating with YNAB (You Need A Budget), allowing AI assistants to securely access and analyze your financial data. -- **[YouTube](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/youtube)** - Extract Youtube video information (with proxies support). -- **[YouTube](https://github.com/ZubeidHendricks/youtube-mcp-server)** - Comprehensive YouTube API integration for video management, Shorts creation, and analytics. -- **[Zoom](https://github.com/Prathamesh0901/zoom-mcp-server/tree/main)** - Create, update, read and delete your zoom meetings. -- **[mcp_weather](https://github.com/isdaniel/mcp_weather_server)** - Get weather information from https://api.open-meteo.com API. +## Contributing -## 📚 Frameworks +This repository is archived and no longer accepts contributions. For contributing to MCP servers, please visit the [active servers repository](https://github.com/modelcontextprotocol/servers). -These are high-level frameworks that make it easier to build MCP servers or clients. +## License -### For servers - -* **[EasyMCP](https://github.com/zcaceres/easy-mcp/)** (TypeScript) -- **[FastAPI to MCP auto generator](https://github.com/tadata-org/fastapi_mcp)** – A zero-configuration tool for automatically exposing FastAPI endpoints as MCP tools by **[Tadata](https://tadata.com/)** -* **[FastMCP](https://github.com/punkpeye/fastmcp)** (TypeScript) -* **[Foxy Contexts](https://github.com/strowk/foxy-contexts)** – A library to build MCP servers in Golang by **[strowk](https://github.com/strowk)** -* **[Higress MCP Server Hosting](https://github.com/alibaba/higress/tree/main/plugins/wasm-go/mcp-servers)** - A solution for hosting MCP Servers by extending the API Gateway (based on Envoy) with wasm plugins. -* **[MCP-Framework](https://mcp-framework.com)** Build MCP servers with elegance and speed in Typescript. Comes with a CLI to create your project with `mcp create app`. Get started with your first server in under 5 minutes by **[Alex Andru](https://github.com/QuantGeekDev)** -* **[Quarkus MCP Server SDK](https://github.com/quarkiverse/quarkus-mcp-server)** (Java) -* **[Spring AI MCP Server](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-server-boot-starter-docs.html)** - Provides auto-configuration for setting up an MCP server in Spring Boot applications. -* **[Template MCP Server](https://github.com/mcpdotdirect/template-mcp-server)** - A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure - -### For clients - -* **[codemirror-mcp](https://github.com/marimo-team/codemirror-mcp)** - CodeMirror extension that implements the Model Context Protocol (MCP) for resource mentions and prompt commands -* **[Spring AI MCP Client](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-client-boot-starter-docs.html)** - Provides auto-configuration for MCP client functionality in Spring Boot applications. - -## 📚 Resources - -Additional resources on MCP. - -- **[AiMCP](https://www.aimcp.info)** - A collection of MCP clients&servers to find the right mcp tools by **[Hekmon](https://github.com/hekmon8)** -- **[Awesome Crypto MCP Servers by badkk](https://github.com/badkk/awesome-crypto-mcp-servers)** - A curated list of MCP servers by **[Luke Fan](https://github.com/badkk)** -- **[Awesome MCP Servers by appcypher](https://github.com/appcypher/awesome-mcp-servers)** - A curated list of MCP servers by **[Stephen Akinyemi](https://github.com/appcypher)** -- **[Awesome MCP Servers by punkpeye](https://github.com/punkpeye/awesome-mcp-servers)** (**[website](https://glama.ai/mcp/servers)**) - A curated list of MCP servers by **[Frank Fiegel](https://github.com/punkpeye)** -- **[Awesome MCP Servers by wong2](https://github.com/wong2/awesome-mcp-servers)** (**[website](https://mcpservers.org)**) - A curated list of MCP servers by **[wong2](https://github.com/wong2)** -- **[Awesome Remote MCP Servers by JAW9C](https://github.com/jaw9c/awesome-remote-mcp-servers)** - A curated list of **remote** MCP servers, including thier authentication support by **[JAW9C](https://github.com/jaw9c)** -- **[Discord Server](https://glama.ai/mcp/discord)** – A community discord server dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)** -- **[Discord Server (ModelContextProtocol)](https://discord.gg/jHEGxQu2a5)** – Connect with developers, share insights, and collaborate on projects in an active Discord community dedicated to the Model Context Protocol by **[Alex Andru](https://github.com/QuantGeekDev)** -- Klavis Logo **[Klavis AI](https://www.klavis.ai)** - Open Source MCP Infra. Hosted MCP servers and MCP clients on Slack and Discord. -- **[MCP Marketplace Web Plugin](https://github.com/AI-Agent-Hub/mcp-marketplace)** MCP Marketplace is a small Web UX plugin to integrate with AI applications, Support various MCP Server API Endpoint (e.g pulsemcp.com/deepnlp.org and more). Allowing user to browse, paginate and select various MCP servers by different categories. [Pypi](https://pypi.org/project/mcp-marketplace) | [Maintainer](https://github.com/AI-Agent-Hub) | [Website](http://www.deepnlp.org/store/ai-agent/mcp-server) -- **[MCP Router](https://mcp-router.net)** – Free Windows and macOS app that simplifies MCP management while providing seamless app authentication and powerful log visualization by **[MCP Router](https://github.com/mcp-router/mcp-router)** -- **[MCP Badges](https://github.com/mcpx-dev/mcp-badges)** – Quickly highlight your MCP project with clear, eye-catching badges, by **[Ironben](https://github.com/nanbingxyz)** -- **[MCP Servers Hub](https://github.com/apappascs/mcp-servers-hub)** (**[website](https://mcp-servers-hub-website.pages.dev/)**) - A curated list of MCP servers by **[apappascs](https://github.com/apappascs)** -- **[MCP X Community](https://x.com/i/communities/1861891349609603310)** – A X community for MCP by **[Xiaoyi](https://x.com/chxy)** -- **[mcp-cli](https://github.com/wong2/mcp-cli)** - A CLI inspector for the Model Context Protocol by **[wong2](https://github.com/wong2)** -- **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)** -- **[mcp-guardian](https://github.com/eqtylab/mcp-guardian)** - GUI application + tools for proxying / managing control of MCP servers by **[EQTY Lab](https://eqtylab.io)** -- **[mcpm](https://github.com/pathintegral-institute/mcpm.sh)** ([website](https://mcpm.sh)) - MCP Manager (MCPM) is a Homebrew-like service for managing Model Context Protocol (MCP) servers across clients by **[Pathintegral](https://github.com/pathintegral-institute)** -- **[mcp-manager](https://github.com/zueai/mcp-manager)** - Simple Web UI to install and manage MCP servers for Claude Desktop by **[Zue](https://github.com/zueai)** -- **[MCPHub](https://github.com/Jeamee/MCPHub-Desktop)** – An Open Source macOS & Windows GUI Desktop app for discovering, installing and managing MCP servers by **[Jeamee](https://github.com/jeamee)** -- **[mcp.natoma.id](https://mcp.natoma.id)** – A Hosted MCP Platform to discover, install, manage and deploy MCP servers by **[Natoma Labs](https://www.natoma.id)** -- **[mcp.run](https://mcp.run)** - A hosted registry and control plane to install & run secure + portable MCP Servers. -- **[mcp-dockmaster](https://mcp-dockmaster.com)** - An Open-Sourced UI to install and manage MCP servers for Windows, Linux and MacOS. -- **[MCP Servers Rating and User Reviews](http://www.deepnlp.org/store/ai-agent/mcp-server)** - Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent) -- **[MCPVerse](https://mcpverse.dev)** - A portal for creating & hosting authenticated MCP servers and connecting to them securely. -- mkinf Logo **[mkinf](https://mkinf.io)** - An Open Source registry of hosted MCP Servers to accelerate AI agent workflows. -- **[Open-Sourced MCP Servers Directory](https://github.com/chatmcp/mcp-directory)** - A curated list of MCP servers by **[mcpso](https://mcp.so)** -- OpenTools Logo **[OpenTools](https://opentools.com)** - An open registry for finding, installing, and building with MCP servers by **[opentoolsteam](https://github.com/opentoolsteam)** -- **[PulseMCP](https://www.pulsemcp.com)** ([API](https://www.pulsemcp.com/api)) - Community hub & weekly newsletter for discovering MCP servers, clients, articles, and news by **[Tadas Antanavicius](https://github.com/tadasant)**, **[Mike Coughlin](https://github.com/macoughl)**, and **[Ravina Patel](https://github.com/ravinahp)** -- **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)** -- **[r/modelcontextprotocol](https://www.reddit.com/r/modelcontextprotocol)** – A Model Context Protocol community Reddit page - discuss ideas, get answers to your questions, network with like-minded people, and showcase your projects! by **[Alex Andru](https://github.com/QuantGeekDev)** - - -- **[Smithery](https://smithery.ai/)** - A registry of MCP servers to find the right tools for your LLM agents by **[Henry Mao](https://github.com/calclavia)** -- **[Toolbase](https://gettoolbase.ai)** - Desktop application that manages tools and MCP servers with just a few clicks - no coding required by **[gching](https://github.com/gching)** - -## 🚀 Getting Started - -### Using MCP Servers in this Repository -Typescript-based servers in this repository can be used directly with `npx`. - -For example, this will start the [Memory](src/memory) server: -```sh -npx -y @modelcontextprotocol/server-memory -``` - -Python-based servers in this repository can be used directly with [`uvx`](https://docs.astral.sh/uv/concepts/tools/) or [`pip`](https://pypi.org/project/pip/). `uvx` is recommended for ease of use and setup. - -For example, this will start the [Git](src/git) server: -```sh -# With uvx -uvx mcp-server-git - -# With pip -pip install mcp-server-git -python -m mcp_server_git -``` - -Follow [these](https://docs.astral.sh/uv/getting-started/installation/) instructions to install `uv` / `uvx` and [these](https://pip.pypa.io/en/stable/installation/) to install `pip`. - -### Using an MCP Client -However, running a server on its own isn't very useful, and should instead be configured into an MCP client. For example, here's the Claude Desktop configuration to use the above server: - -```json -{ - "mcpServers": { - "memory": { - "command": "npx", - "args": ["-y", "@modelcontextprotocol/server-memory"] - } - } -} -``` - -Additional examples of using the Claude Desktop as an MCP client might look like: - -```json -{ - "mcpServers": { - "filesystem": { - "command": "npx", - "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"] - }, - "git": { - "command": "uvx", - "args": ["mcp-server-git", "--repository", "path/to/git/repo"] - }, - "github": { - "command": "npx", - "args": ["-y", "@modelcontextprotocol/server-github"], - "env": { - "GITHUB_PERSONAL_ACCESS_TOKEN": "" - } - }, - "postgres": { - "command": "npx", - "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"] - } - } -} -``` - -## 🛠️ Creating Your Own Server - -Interested in creating your own MCP server? Visit the official documentation at [modelcontextprotocol.io](https://modelcontextprotocol.io/introduction) for comprehensive guides, best practices, and technical details on implementing MCP servers. - -## 🤝 Contributing - -See [CONTRIBUTING.md](CONTRIBUTING.md) for information about contributing to this repository. - -## 🔒 Security - -See [SECURITY.md](SECURITY.md) for reporting security vulnerabilities. - -## 📜 License - -This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. - -## 💬 Community - -- [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions) - -## ⭐ Support - -If you find MCP servers useful, please consider starring the repository and contributing new servers or improvements! - ---- - -Managed by Anthropic, but built together with the community. The Model Context Protocol is open source and we encourage everyone to contribute their own servers and improvements! +MIT \ No newline at end of file diff --git a/SECURITY.md b/SECURITY.md index ea10c02..2d9ba74 100644 --- a/SECURITY.md +++ b/SECURITY.md @@ -1,10 +1,18 @@ -# Security Policy -Thank you for helping us keep our MCP servers secure. +# Security Policy - ARCHIVED REPOSITORY -These servers are maintained by [Anthropic](https://www.anthropic.com/) as part of the Model Context Protocol project. +⚠️ **IMPORTANT: This repository contains archived reference servers that are no longer maintained.** -The security of our systems and user data is Anthropic’s top priority. We appreciate the work of security researchers acting in good faith in identifying and reporting potential vulnerabilities. +**NO SECURITY GUARANTEES ARE PROVIDED FOR THESE SERVERS.** + +These servers were previously maintained by [Anthropic](https://www.anthropic.com/) as part of the Model Context Protocol project but are now archived. + +As these servers are no longer maintained: +- No security updates will be provided +- No vulnerability patches will be released +- Use at your own risk ## Vulnerability Disclosure Program -Our Vulnerability Program guidelines are defined on our [HackerOne program page](https://hackerone.com/anthropic-vdp). We ask that any validated vulnerability in this functionality be reported through the [submission form](https://hackerone.com/anthropic-vdp/reports/new?type=team&report_type=vulnerability). +⚠️ **This archived repository is no longer covered by our vulnerability disclosure program.** + +For actively maintained MCP projects, please refer to the [Model Context Protocol organization](https://github.com/modelcontextprotocol). \ No newline at end of file diff --git a/package.json b/package.json index 9d5e5ee..c22d9fc 100644 --- a/package.json +++ b/package.json @@ -2,7 +2,7 @@ "name": "@modelcontextprotocol/servers", "private": true, "version": "0.6.2", - "description": "Model Context Protocol servers", + "description": "ARCHIVED: Model Context Protocol servers (no longer maintained)", "license": "MIT", "author": "Anthropic, PBC (https://anthropic.com)", "homepage": "https://modelcontextprotocol.io", diff --git a/src/everything/CLAUDE.md b/src/everything/CLAUDE.md deleted file mode 100644 index 9135020..0000000 --- a/src/everything/CLAUDE.md +++ /dev/null @@ -1,20 +0,0 @@ -# MCP "Everything" Server - Development Guidelines - -## Build, Test & Run Commands -- Build: `npm run build` - Compiles TypeScript to JavaScript -- Watch mode: `npm run watch` - Watches for changes and rebuilds automatically -- Run server: `npm run start` - Starts the MCP server using stdio transport -- Run SSE server: `npm run start:sse` - Starts the MCP server with SSE transport -- Prepare release: `npm run prepare` - Builds the project for publishing - -## Code Style Guidelines -- Use ES modules with `.js` extension in import paths -- Strictly type all functions and variables with TypeScript -- Follow zod schema patterns for tool input validation -- Prefer async/await over callbacks and Promise chains -- Place all imports at top of file, grouped by external then internal -- Use descriptive variable names that clearly indicate purpose -- Implement proper cleanup for timers and resources in server shutdown -- Follow camelCase for variables/functions, PascalCase for types/classes, UPPER_CASE for constants -- Handle errors with try/catch blocks and provide clear error messages -- Use consistent indentation (2 spaces) and trailing commas in multi-line objects \ No newline at end of file diff --git a/src/everything/Dockerfile b/src/everything/Dockerfile deleted file mode 100644 index 6729298..0000000 --- a/src/everything/Dockerfile +++ /dev/null @@ -1,22 +0,0 @@ -FROM node:22.12-alpine AS builder - -COPY src/everything /app -COPY tsconfig.json /tsconfig.json - -WORKDIR /app - -RUN --mount=type=cache,target=/root/.npm npm install - -FROM node:22-alpine AS release - -WORKDIR /app - -COPY --from=builder /app/dist /app/dist -COPY --from=builder /app/package.json /app/package.json -COPY --from=builder /app/package-lock.json /app/package-lock.json - -ENV NODE_ENV=production - -RUN npm ci --ignore-scripts --omit-dev - -CMD ["node", "dist/index.js"] \ No newline at end of file diff --git a/src/everything/README.md b/src/everything/README.md deleted file mode 100644 index 261ce03..0000000 --- a/src/everything/README.md +++ /dev/null @@ -1,217 +0,0 @@ -# Everything MCP Server - -This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities. - -## Components - -### Tools - -1. `echo` - - Simple tool to echo back input messages - - Input: - - `message` (string): Message to echo back - - Returns: Text content with echoed message - -2. `add` - - Adds two numbers together - - Inputs: - - `a` (number): First number - - `b` (number): Second number - - Returns: Text result of the addition - -3. `longRunningOperation` - - Demonstrates progress notifications for long operations - - Inputs: - - `duration` (number, default: 10): Duration in seconds - - `steps` (number, default: 5): Number of progress steps - - Returns: Completion message with duration and steps - - Sends progress notifications during execution - -4. `sampleLLM` - - Demonstrates LLM sampling capability using MCP sampling feature - - Inputs: - - `prompt` (string): The prompt to send to the LLM - - `maxTokens` (number, default: 100): Maximum tokens to generate - - Returns: Generated LLM response - -5. `getTinyImage` - - Returns a small test image - - No inputs required - - Returns: Base64 encoded PNG image data - -6. `printEnv` - - Prints all environment variables - - Useful for debugging MCP server configuration - - No inputs required - - Returns: JSON string of all environment variables - -7. `annotatedMessage` - - Demonstrates how annotations can be used to provide metadata about content - - Inputs: - - `messageType` (enum: "error" | "success" | "debug"): Type of message to demonstrate different annotation patterns - - `includeImage` (boolean, default: false): Whether to include an example image - - Returns: Content with varying annotations: - - Error messages: High priority (1.0), visible to both user and assistant - - Success messages: Medium priority (0.7), user-focused - - Debug messages: Low priority (0.3), assistant-focused - - Optional image: Medium priority (0.5), user-focused - - Example annotations: - ```json - { - "priority": 1.0, - "audience": ["user", "assistant"] - } - ``` - -8. `getResourceReference` - - Returns a resource reference that can be used by MCP clients - - Inputs: - - `resourceId` (number, 1-100): ID of the resource to reference - - Returns: A resource reference with: - - Text introduction - - Embedded resource with `type: "resource"` - - Text instruction for using the resource URI - -### Resources - -The server provides 100 test resources in two formats: -- Even numbered resources: - - Plaintext format - - URI pattern: `test://static/resource/{even_number}` - - Content: Simple text description - -- Odd numbered resources: - - Binary blob format - - URI pattern: `test://static/resource/{odd_number}` - - Content: Base64 encoded binary data - -Resource features: -- Supports pagination (10 items per page) -- Allows subscribing to resource updates -- Demonstrates resource templates -- Auto-updates subscribed resources every 5 seconds - -### Prompts - -1. `simple_prompt` - - Basic prompt without arguments - - Returns: Single message exchange - -2. `complex_prompt` - - Advanced prompt demonstrating argument handling - - Required arguments: - - `temperature` (number): Temperature setting - - Optional arguments: - - `style` (string): Output style preference - - Returns: Multi-turn conversation with images - -3. `resource_prompt` - - Demonstrates embedding resource references in prompts - - Required arguments: - - `resourceId` (number): ID of the resource to embed (1-100) - - Returns: Multi-turn conversation with an embedded resource reference - - Shows how to include resources directly in prompt messages - -### Logging - -The server sends random-leveled log messages every 15 seconds, e.g.: - -```json -{ - "method": "notifications/message", - "params": { - "level": "info", - "data": "Info-level message" - } -} -``` - -## Usage with Claude Desktop (uses [stdio Transport](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#stdio)) - -Add to your `claude_desktop_config.json`: - -```json -{ - "mcpServers": { - "everything": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-everything" - ] - } - } -} -``` - -## Usage with VS Code - -For quick installation, use of of the one-click install buttons below... - -[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everything&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-everything%22%5D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everything&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-everything%22%5D%7D&quality=insiders) - -[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everything&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Feverything%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everything&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Feverything%22%5D%7D&quality=insiders) - -For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`. - -Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. - -> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file. - -#### NPX - -```json -{ - "mcp": { - "servers": { - "everything": { - "command": "npx", - "args": ["-y", "@modelcontextprotocol/server-everything"] - } - } - } -} -``` - -## Running from source with [HTTP+SSE Transport](https://modelcontextprotocol.io/specification/2024-11-05/basic/transports#http-with-sse) (deprecated as of [2025-03-26](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports)) - -```shell -cd src/everything -npm install -npm run start:sse -``` - -## Run from source with [Streamable HTTP Transport](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#streamable-http) - -```shell -cd src/everything -npm install -npm run start:streamableHttp -``` - -## Running as an installed package -### Install -```shell -npm install -g @modelcontextprotocol/server-everything@latest -```` - -### Run the default (stdio) server -```shell -npx @modelcontextprotocol/server-everything -``` - -### Or specify stdio explicitly -```shell -npx @modelcontextprotocol/server-everything stdio -``` - -### Run the SSE server -```shell -npx @modelcontextprotocol/server-everything sse -``` - -### Run the streamable HTTP server -```shell -npx @modelcontextprotocol/server-everything streamableHttp -``` - diff --git a/src/everything/everything.ts b/src/everything/everything.ts deleted file mode 100644 index 50fa516..0000000 --- a/src/everything/everything.ts +++ /dev/null @@ -1,702 +0,0 @@ -import { Server } from "@modelcontextprotocol/sdk/server/index.js"; -import { - CallToolRequestSchema, - CompleteRequestSchema, - CreateMessageRequest, - CreateMessageResultSchema, - GetPromptRequestSchema, - ListPromptsRequestSchema, - ListResourcesRequestSchema, - ListResourceTemplatesRequestSchema, - ListToolsRequestSchema, - LoggingLevel, - ReadResourceRequestSchema, - Resource, - SetLevelRequestSchema, - SubscribeRequestSchema, - Tool, - ToolSchema, - UnsubscribeRequestSchema, -} from "@modelcontextprotocol/sdk/types.js"; -import { z } from "zod"; -import { zodToJsonSchema } from "zod-to-json-schema"; - -const ToolInputSchema = ToolSchema.shape.inputSchema; -type ToolInput = z.infer; - -/* Input schemas for tools implemented in this server */ -const EchoSchema = z.object({ - message: z.string().describe("Message to echo"), -}); - -const AddSchema = z.object({ - a: z.number().describe("First number"), - b: z.number().describe("Second number"), -}); - -const LongRunningOperationSchema = z.object({ - duration: z - .number() - .default(10) - .describe("Duration of the operation in seconds"), - steps: z.number().default(5).describe("Number of steps in the operation"), -}); - -const PrintEnvSchema = z.object({}); - -const SampleLLMSchema = z.object({ - prompt: z.string().describe("The prompt to send to the LLM"), - maxTokens: z - .number() - .default(100) - .describe("Maximum number of tokens to generate"), -}); - -// Example completion values -const EXAMPLE_COMPLETIONS = { - style: ["casual", "formal", "technical", "friendly"], - temperature: ["0", "0.5", "0.7", "1.0"], - resourceId: ["1", "2", "3", "4", "5"], -}; - -const GetTinyImageSchema = z.object({}); - -const AnnotatedMessageSchema = z.object({ - messageType: z - .enum(["error", "success", "debug"]) - .describe("Type of message to demonstrate different annotation patterns"), - includeImage: z - .boolean() - .default(false) - .describe("Whether to include an example image"), -}); - -const GetResourceReferenceSchema = z.object({ - resourceId: z - .number() - .min(1) - .max(100) - .describe("ID of the resource to reference (1-100)"), -}); - -enum ToolName { - ECHO = "echo", - ADD = "add", - LONG_RUNNING_OPERATION = "longRunningOperation", - PRINT_ENV = "printEnv", - SAMPLE_LLM = "sampleLLM", - GET_TINY_IMAGE = "getTinyImage", - ANNOTATED_MESSAGE = "annotatedMessage", - GET_RESOURCE_REFERENCE = "getResourceReference", -} - -enum PromptName { - SIMPLE = "simple_prompt", - COMPLEX = "complex_prompt", - RESOURCE = "resource_prompt", -} - -export const createServer = () => { - const server = new Server( - { - name: "example-servers/everything", - version: "1.0.0", - }, - { - capabilities: { - prompts: {}, - resources: { subscribe: true }, - tools: {}, - logging: {}, - completions: {}, - }, - } - ); - - let subscriptions: Set = new Set(); - let subsUpdateInterval: NodeJS.Timeout | undefined; - let stdErrUpdateInterval: NodeJS.Timeout | undefined; - - // Set up update interval for subscribed resources - subsUpdateInterval = setInterval(() => { - for (const uri of subscriptions) { - server.notification({ - method: "notifications/resources/updated", - params: { uri }, - }); - } - }, 10000); - - let logLevel: LoggingLevel = "debug"; - let logsUpdateInterval: NodeJS.Timeout | undefined; - const messages = [ - { level: "debug", data: "Debug-level message" }, - { level: "info", data: "Info-level message" }, - { level: "notice", data: "Notice-level message" }, - { level: "warning", data: "Warning-level message" }, - { level: "error", data: "Error-level message" }, - { level: "critical", data: "Critical-level message" }, - { level: "alert", data: "Alert level-message" }, - { level: "emergency", data: "Emergency-level message" }, - ]; - - const isMessageIgnored = (level: LoggingLevel): boolean => { - const currentLevel = messages.findIndex((msg) => logLevel === msg.level); - const messageLevel = messages.findIndex((msg) => level === msg.level); - return messageLevel < currentLevel; - }; - - // Set up update interval for random log messages - logsUpdateInterval = setInterval(() => { - let message = { - method: "notifications/message", - params: messages[Math.floor(Math.random() * messages.length)], - }; - if (!isMessageIgnored(message.params.level as LoggingLevel)) - server.notification(message); - }, 20000); - - - // Set up update interval for stderr messages - stdErrUpdateInterval = setInterval(() => { - const shortTimestamp = new Date().toLocaleTimeString([], { - hour: '2-digit', - minute: '2-digit', - second: '2-digit' - }); - server.notification({ - method: "notifications/stderr", - params: { content: `${shortTimestamp}: A stderr message` }, - }); - }, 30000); - - // Helper method to request sampling from client - const requestSampling = async ( - context: string, - uri: string, - maxTokens: number = 100 - ) => { - const request: CreateMessageRequest = { - method: "sampling/createMessage", - params: { - messages: [ - { - role: "user", - content: { - type: "text", - text: `Resource ${uri} context: ${context}`, - }, - }, - ], - systemPrompt: "You are a helpful test server.", - maxTokens, - temperature: 0.7, - includeContext: "thisServer", - }, - }; - - return await server.request(request, CreateMessageResultSchema); - }; - - const ALL_RESOURCES: Resource[] = Array.from({ length: 100 }, (_, i) => { - const uri = `test://static/resource/${i + 1}`; - if (i % 2 === 0) { - return { - uri, - name: `Resource ${i + 1}`, - mimeType: "text/plain", - text: `Resource ${i + 1}: This is a plaintext resource`, - }; - } else { - const buffer = Buffer.from(`Resource ${i + 1}: This is a base64 blob`); - return { - uri, - name: `Resource ${i + 1}`, - mimeType: "application/octet-stream", - blob: buffer.toString("base64"), - }; - } - }); - - const PAGE_SIZE = 10; - - server.setRequestHandler(ListResourcesRequestSchema, async (request) => { - const cursor = request.params?.cursor; - let startIndex = 0; - - if (cursor) { - const decodedCursor = parseInt(atob(cursor), 10); - if (!isNaN(decodedCursor)) { - startIndex = decodedCursor; - } - } - - const endIndex = Math.min(startIndex + PAGE_SIZE, ALL_RESOURCES.length); - const resources = ALL_RESOURCES.slice(startIndex, endIndex); - - let nextCursor: string | undefined; - if (endIndex < ALL_RESOURCES.length) { - nextCursor = btoa(endIndex.toString()); - } - - return { - resources, - nextCursor, - }; - }); - - server.setRequestHandler(ListResourceTemplatesRequestSchema, async () => { - return { - resourceTemplates: [ - { - uriTemplate: "test://static/resource/{id}", - name: "Static Resource", - description: "A static resource with a numeric ID", - }, - ], - }; - }); - - server.setRequestHandler(ReadResourceRequestSchema, async (request) => { - const uri = request.params.uri; - - if (uri.startsWith("test://static/resource/")) { - const index = parseInt(uri.split("/").pop() ?? "", 10) - 1; - if (index >= 0 && index < ALL_RESOURCES.length) { - const resource = ALL_RESOURCES[index]; - return { - contents: [resource], - }; - } - } - - throw new Error(`Unknown resource: ${uri}`); - }); - - server.setRequestHandler(SubscribeRequestSchema, async (request) => { - const { uri } = request.params; - subscriptions.add(uri); - - // Request sampling from client when someone subscribes - await requestSampling("A new subscription was started", uri); - return {}; - }); - - server.setRequestHandler(UnsubscribeRequestSchema, async (request) => { - subscriptions.delete(request.params.uri); - return {}; - }); - - server.setRequestHandler(ListPromptsRequestSchema, async () => { - return { - prompts: [ - { - name: PromptName.SIMPLE, - description: "A prompt without arguments", - }, - { - name: PromptName.COMPLEX, - description: "A prompt with arguments", - arguments: [ - { - name: "temperature", - description: "Temperature setting", - required: true, - }, - { - name: "style", - description: "Output style", - required: false, - }, - ], - }, - { - name: PromptName.RESOURCE, - description: "A prompt that includes an embedded resource reference", - arguments: [ - { - name: "resourceId", - description: "Resource ID to include (1-100)", - required: true, - }, - ], - }, - ], - }; - }); - - server.setRequestHandler(GetPromptRequestSchema, async (request) => { - const { name, arguments: args } = request.params; - - if (name === PromptName.SIMPLE) { - return { - messages: [ - { - role: "user", - content: { - type: "text", - text: "This is a simple prompt without arguments.", - }, - }, - ], - }; - } - - if (name === PromptName.COMPLEX) { - return { - messages: [ - { - role: "user", - content: { - type: "text", - text: `This is a complex prompt with arguments: temperature=${args?.temperature}, style=${args?.style}`, - }, - }, - { - role: "assistant", - content: { - type: "text", - text: "I understand. You've provided a complex prompt with temperature and style arguments. How would you like me to proceed?", - }, - }, - { - role: "user", - content: { - type: "image", - data: MCP_TINY_IMAGE, - mimeType: "image/png", - }, - }, - ], - }; - } - - if (name === PromptName.RESOURCE) { - const resourceId = parseInt(args?.resourceId as string, 10); - if (isNaN(resourceId) || resourceId < 1 || resourceId > 100) { - throw new Error( - `Invalid resourceId: ${args?.resourceId}. Must be a number between 1 and 100.` - ); - } - - const resourceIndex = resourceId - 1; - const resource = ALL_RESOURCES[resourceIndex]; - - return { - messages: [ - { - role: "user", - content: { - type: "text", - text: `This prompt includes Resource ${resourceId}. Please analyze the following resource:`, - }, - }, - { - role: "user", - content: { - type: "resource", - resource: resource, - }, - }, - ], - }; - } - - throw new Error(`Unknown prompt: ${name}`); - }); - - server.setRequestHandler(ListToolsRequestSchema, async () => { - const tools: Tool[] = [ - { - name: ToolName.ECHO, - description: "Echoes back the input", - inputSchema: zodToJsonSchema(EchoSchema) as ToolInput, - }, - { - name: ToolName.ADD, - description: "Adds two numbers", - inputSchema: zodToJsonSchema(AddSchema) as ToolInput, - }, - { - name: ToolName.PRINT_ENV, - description: - "Prints all environment variables, helpful for debugging MCP server configuration", - inputSchema: zodToJsonSchema(PrintEnvSchema) as ToolInput, - }, - { - name: ToolName.LONG_RUNNING_OPERATION, - description: - "Demonstrates a long running operation with progress updates", - inputSchema: zodToJsonSchema(LongRunningOperationSchema) as ToolInput, - }, - { - name: ToolName.SAMPLE_LLM, - description: "Samples from an LLM using MCP's sampling feature", - inputSchema: zodToJsonSchema(SampleLLMSchema) as ToolInput, - }, - { - name: ToolName.GET_TINY_IMAGE, - description: "Returns the MCP_TINY_IMAGE", - inputSchema: zodToJsonSchema(GetTinyImageSchema) as ToolInput, - }, - { - name: ToolName.ANNOTATED_MESSAGE, - description: - "Demonstrates how annotations can be used to provide metadata about content", - inputSchema: zodToJsonSchema(AnnotatedMessageSchema) as ToolInput, - }, - { - name: ToolName.GET_RESOURCE_REFERENCE, - description: - "Returns a resource reference that can be used by MCP clients", - inputSchema: zodToJsonSchema(GetResourceReferenceSchema) as ToolInput, - }, - ]; - - return { tools }; - }); - - server.setRequestHandler(CallToolRequestSchema, async (request) => { - const { name, arguments: args } = request.params; - - if (name === ToolName.ECHO) { - const validatedArgs = EchoSchema.parse(args); - return { - content: [{ type: "text", text: `Echo: ${validatedArgs.message}` }], - }; - } - - if (name === ToolName.ADD) { - const validatedArgs = AddSchema.parse(args); - const sum = validatedArgs.a + validatedArgs.b; - return { - content: [ - { - type: "text", - text: `The sum of ${validatedArgs.a} and ${validatedArgs.b} is ${sum}.`, - }, - ], - }; - } - - if (name === ToolName.LONG_RUNNING_OPERATION) { - const validatedArgs = LongRunningOperationSchema.parse(args); - const { duration, steps } = validatedArgs; - const stepDuration = duration / steps; - const progressToken = request.params._meta?.progressToken; - - for (let i = 1; i < steps + 1; i++) { - await new Promise((resolve) => - setTimeout(resolve, stepDuration * 1000) - ); - - if (progressToken !== undefined) { - await server.notification({ - method: "notifications/progress", - params: { - progress: i, - total: steps, - progressToken, - }, - }); - } - } - - return { - content: [ - { - type: "text", - text: `Long running operation completed. Duration: ${duration} seconds, Steps: ${steps}.`, - }, - ], - }; - } - - if (name === ToolName.PRINT_ENV) { - return { - content: [ - { - type: "text", - text: JSON.stringify(process.env, null, 2), - }, - ], - }; - } - - if (name === ToolName.SAMPLE_LLM) { - const validatedArgs = SampleLLMSchema.parse(args); - const { prompt, maxTokens } = validatedArgs; - - const result = await requestSampling( - prompt, - ToolName.SAMPLE_LLM, - maxTokens - ); - return { - content: [ - { type: "text", text: `LLM sampling result: ${result.content.text}` }, - ], - }; - } - - if (name === ToolName.GET_TINY_IMAGE) { - GetTinyImageSchema.parse(args); - return { - content: [ - { - type: "text", - text: "This is a tiny image:", - }, - { - type: "image", - data: MCP_TINY_IMAGE, - mimeType: "image/png", - }, - { - type: "text", - text: "The image above is the MCP tiny image.", - }, - ], - }; - } - - if (name === ToolName.GET_RESOURCE_REFERENCE) { - const validatedArgs = GetResourceReferenceSchema.parse(args); - const resourceId = validatedArgs.resourceId; - - const resourceIndex = resourceId - 1; - if (resourceIndex < 0 || resourceIndex >= ALL_RESOURCES.length) { - throw new Error(`Resource with ID ${resourceId} does not exist`); - } - - const resource = ALL_RESOURCES[resourceIndex]; - - return { - content: [ - { - type: "text", - text: `Returning resource reference for Resource ${resourceId}:`, - }, - { - type: "resource", - resource: resource, - }, - { - type: "text", - text: `You can access this resource using the URI: ${resource.uri}`, - }, - ], - }; - } - - if (name === ToolName.ANNOTATED_MESSAGE) { - const { messageType, includeImage } = AnnotatedMessageSchema.parse(args); - - const content = []; - - // Main message with different priorities/audiences based on type - if (messageType === "error") { - content.push({ - type: "text", - text: "Error: Operation failed", - annotations: { - priority: 1.0, // Errors are highest priority - audience: ["user", "assistant"], // Both need to know about errors - }, - }); - } else if (messageType === "success") { - content.push({ - type: "text", - text: "Operation completed successfully", - annotations: { - priority: 0.7, // Success messages are important but not critical - audience: ["user"], // Success mainly for user consumption - }, - }); - } else if (messageType === "debug") { - content.push({ - type: "text", - text: "Debug: Cache hit ratio 0.95, latency 150ms", - annotations: { - priority: 0.3, // Debug info is low priority - audience: ["assistant"], // Technical details for assistant - }, - }); - } - - // Optional image with its own annotations - if (includeImage) { - content.push({ - type: "image", - data: MCP_TINY_IMAGE, - mimeType: "image/png", - annotations: { - priority: 0.5, - audience: ["user"], // Images primarily for user visualization - }, - }); - } - - return { content }; - } - - throw new Error(`Unknown tool: ${name}`); - }); - - server.setRequestHandler(CompleteRequestSchema, async (request) => { - const { ref, argument } = request.params; - - if (ref.type === "ref/resource") { - const resourceId = ref.uri.split("/").pop(); - if (!resourceId) return { completion: { values: [] } }; - - // Filter resource IDs that start with the input value - const values = EXAMPLE_COMPLETIONS.resourceId.filter((id) => - id.startsWith(argument.value) - ); - return { completion: { values, hasMore: false, total: values.length } }; - } - - if (ref.type === "ref/prompt") { - // Handle completion for prompt arguments - const completions = - EXAMPLE_COMPLETIONS[argument.name as keyof typeof EXAMPLE_COMPLETIONS]; - if (!completions) return { completion: { values: [] } }; - - const values = completions.filter((value) => - value.startsWith(argument.value) - ); - return { completion: { values, hasMore: false, total: values.length } }; - } - - throw new Error(`Unknown reference type`); - }); - - server.setRequestHandler(SetLevelRequestSchema, async (request) => { - const { level } = request.params; - logLevel = level; - - // Demonstrate different log levels - await server.notification({ - method: "notifications/message", - params: { - level: "debug", - logger: "test-server", - data: `Logging level set to: ${logLevel}`, - }, - }); - - return {}; - }); - - const cleanup = async () => { - if (subsUpdateInterval) clearInterval(subsUpdateInterval); - if (logsUpdateInterval) clearInterval(logsUpdateInterval); - if (stdErrUpdateInterval) clearInterval(stdErrUpdateInterval); - }; - - return { server, cleanup }; -}; - -const MCP_TINY_IMAGE = - "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diff --git a/src/everything/index.ts b/src/everything/index.ts deleted file mode 100644 index 801fe72..0000000 --- a/src/everything/index.ts +++ /dev/null @@ -1,37 +0,0 @@ -#!/usr/bin/env node - -// Parse command line arguments first -const args = process.argv.slice(2); -const scriptName = args[0] || 'stdio'; - -async function run() { - try { - // Dynamically import only the requested module to prevent all modules from initializing - switch (scriptName) { - case 'stdio': - // Import and run the default server - await import('./stdio.js'); - break; - case 'sse': - // Import and run the SSE server - await import('./sse.js'); - break; - case 'streamableHttp': - // Import and run the streamable HTTP server - await import('./streamableHttp.js'); - break; - default: - console.error(`Unknown script: ${scriptName}`); - console.log('Available scripts:'); - console.log('- stdio'); - console.log('- sse'); - console.log('- streamableHttp'); - process.exit(1); - } - } catch (error) { - console.error('Error running script:', error); - process.exit(1); - } -} - -run(); diff --git a/src/everything/package.json b/src/everything/package.json deleted file mode 100644 index 553db40..0000000 --- a/src/everything/package.json +++ /dev/null @@ -1,35 +0,0 @@ -{ - "name": "@modelcontextprotocol/server-everything", - "version": "0.6.2", - "description": "MCP server that exercises all the features of the MCP protocol", - "license": "MIT", - "author": "Anthropic, PBC (https://anthropic.com)", - "homepage": "https://modelcontextprotocol.io", - "bugs": "https://github.com/modelcontextprotocol/servers/issues", - "type": "module", - "bin": { - "mcp-server-everything": "dist/index.js" - }, - "files": [ - "dist" - ], - "scripts": { - "build": "tsc && shx chmod +x dist/*.js", - "prepare": "npm run build", - "watch": "tsc --watch", - "start": "node dist/index.js", - "start:sse": "node dist/sse.js", - "start:streamableHttp": "node dist/streamableHttp.js" - }, - "dependencies": { - "@modelcontextprotocol/sdk": "^1.11.0", - "express": "^4.21.1", - "zod": "^3.23.8", - "zod-to-json-schema": "^3.23.5" - }, - "devDependencies": { - "@types/express": "^5.0.0", - "shx": "^0.3.4", - "typescript": "^5.6.2" - } -} diff --git a/src/everything/sse.ts b/src/everything/sse.ts deleted file mode 100644 index 01794cd..0000000 --- a/src/everything/sse.ts +++ /dev/null @@ -1,41 +0,0 @@ -import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js"; -import express from "express"; -import { createServer } from "./everything.js"; - -console.error('Starting SSE server...'); - -const app = express(); - -const { server, cleanup } = createServer(); - -let transport: SSEServerTransport; - -app.get("/sse", async (req, res) => { - console.error("Received connection"); - transport = new SSEServerTransport("/message", res); - await server.connect(transport); - - server.onclose = async () => { - await cleanup(); - await server.close(); - }; - -}); - -app.post("/message", async (req, res) => { - console.error("Received message"); - - await transport.handlePostMessage(req, res); -}); - -process.on("SIGINT", async () => { - await cleanup(); - await server.close(); - process.exit(0); -}); - -const PORT = process.env.PORT || 3001; -app.listen(PORT, () => { - console.error(`Server is running on port ${PORT}`); -}); - diff --git a/src/everything/stdio.ts b/src/everything/stdio.ts deleted file mode 100644 index a98fbc5..0000000 --- a/src/everything/stdio.ts +++ /dev/null @@ -1,26 +0,0 @@ -#!/usr/bin/env node - -import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; -import { createServer } from "./everything.js"; - -console.error('Starting default (STDIO) server...'); - -async function main() { - const transport = new StdioServerTransport(); - const {server, cleanup} = createServer(); - - await server.connect(transport); - - // Cleanup on exit - process.on("SIGINT", async () => { - await cleanup(); - await server.close(); - process.exit(0); - }); -} - -main().catch((error) => { - console.error("Server error:", error); - process.exit(1); -}); - diff --git a/src/everything/streamableHttp.ts b/src/everything/streamableHttp.ts deleted file mode 100644 index 9ea3a8f..0000000 --- a/src/everything/streamableHttp.ts +++ /dev/null @@ -1,174 +0,0 @@ -import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js"; -import { InMemoryEventStore } from '@modelcontextprotocol/sdk/examples/shared/inMemoryEventStore.js'; -import express, { Request, Response } from "express"; -import { createServer } from "./everything.js"; -import { randomUUID } from 'node:crypto'; - -console.error('Starting Streamable HTTP server...'); - -const app = express(); - -const { server, cleanup } = createServer(); - -const transports: { [sessionId: string]: StreamableHTTPServerTransport } = {}; - -app.post('/mcp', async (req: Request, res: Response) => { - console.error('Received MCP POST request'); - try { - // Check for existing session ID - const sessionId = req.headers['mcp-session-id'] as string | undefined; - let transport: StreamableHTTPServerTransport; - - if (sessionId && transports[sessionId]) { - // Reuse existing transport - transport = transports[sessionId]; - } else if (!sessionId) { - // New initialization request - const eventStore = new InMemoryEventStore(); - transport = new StreamableHTTPServerTransport({ - sessionIdGenerator: () => randomUUID(), - eventStore, // Enable resumability - onsessioninitialized: (sessionId) => { - // Store the transport by session ID when session is initialized - // This avoids race conditions where requests might come in before the session is stored - console.error(`Session initialized with ID: ${sessionId}`); - transports[sessionId] = transport; - } - }); - - // Set up onclose handler to clean up transport when closed - transport.onclose = () => { - const sid = transport.sessionId; - if (sid && transports[sid]) { - console.error(`Transport closed for session ${sid}, removing from transports map`); - delete transports[sid]; - } - }; - - // Connect the transport to the MCP server BEFORE handling the request - // so responses can flow back through the same transport - await server.connect(transport); - - await transport.handleRequest(req, res); - return; // Already handled - } else { - // Invalid request - no session ID or not initialization request - res.status(400).json({ - jsonrpc: '2.0', - error: { - code: -32000, - message: 'Bad Request: No valid session ID provided', - }, - id: req?.body?.id, - }); - return; - } - - // Handle the request with existing transport - no need to reconnect - // The existing transport is already connected to the server - await transport.handleRequest(req, res); - } catch (error) { - console.error('Error handling MCP request:', error); - if (!res.headersSent) { - res.status(500).json({ - jsonrpc: '2.0', - error: { - code: -32603, - message: 'Internal server error', - }, - id: req?.body?.id, - }); - return; - } - } -}); - -// Handle GET requests for SSE streams (using built-in support from StreamableHTTP) -app.get('/mcp', async (req: Request, res: Response) => { - console.error('Received MCP GET request'); - const sessionId = req.headers['mcp-session-id'] as string | undefined; - if (!sessionId || !transports[sessionId]) { - res.status(400).json({ - jsonrpc: '2.0', - error: { - code: -32000, - message: 'Bad Request: No valid session ID provided', - }, - id: req?.body?.id, - }); - return; - } - - // Check for Last-Event-ID header for resumability - const lastEventId = req.headers['last-event-id'] as string | undefined; - if (lastEventId) { - console.error(`Client reconnecting with Last-Event-ID: ${lastEventId}`); - } else { - console.error(`Establishing new SSE stream for session ${sessionId}`); - } - - const transport = transports[sessionId]; - await transport.handleRequest(req, res); -}); - -// Handle DELETE requests for session termination (according to MCP spec) -app.delete('/mcp', async (req: Request, res: Response) => { - const sessionId = req.headers['mcp-session-id'] as string | undefined; - if (!sessionId || !transports[sessionId]) { - res.status(400).json({ - jsonrpc: '2.0', - error: { - code: -32000, - message: 'Bad Request: No valid session ID provided', - }, - id: req?.body?.id, - }); - return; - } - - console.error(`Received session termination request for session ${sessionId}`); - - try { - const transport = transports[sessionId]; - await transport.handleRequest(req, res); - } catch (error) { - console.error('Error handling session termination:', error); - if (!res.headersSent) { - res.status(500).json({ - jsonrpc: '2.0', - error: { - code: -32603, - message: 'Error handling session termination', - }, - id: req?.body?.id, - }); - return; - } - } -}); - -// Start the server -const PORT = process.env.PORT || 3001; -app.listen(PORT, () => { - console.error(`MCP Streamable HTTP Server listening on port ${PORT}`); -}); - -// Handle server shutdown -process.on('SIGINT', async () => { - console.error('Shutting down server...'); - - // Close all active transports to properly clean up resources - for (const sessionId in transports) { - try { - console.error(`Closing transport for session ${sessionId}`); - await transports[sessionId].close(); - delete transports[sessionId]; - } catch (error) { - console.error(`Error closing transport for session ${sessionId}:`, error); - } - } - await cleanup(); - await server.close(); - console.error('Server shutdown complete'); - process.exit(0); -}); diff --git a/src/everything/tsconfig.json b/src/everything/tsconfig.json deleted file mode 100644 index ec5da15..0000000 --- a/src/everything/tsconfig.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "extends": "../../tsconfig.json", - "compilerOptions": { - "outDir": "./dist", - "rootDir": "." - }, - "include": [ - "./**/*.ts" - ] -} diff --git a/src/fetch/.python-version b/src/fetch/.python-version deleted file mode 100644 index 2c07333..0000000 --- a/src/fetch/.python-version +++ /dev/null @@ -1 +0,0 @@ -3.11 diff --git a/src/fetch/Dockerfile b/src/fetch/Dockerfile deleted file mode 100644 index 7e8824c..0000000 --- a/src/fetch/Dockerfile +++ /dev/null @@ -1,36 +0,0 @@ -# Use a Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv - -# Install the project into `/app` -WORKDIR /app - -# Enable bytecode compilation -ENV UV_COMPILE_BYTECODE=1 - -# Copy from the cache instead of linking since it's a mounted volume -ENV UV_LINK_MODE=copy - -# Install the project's dependencies using the lockfile and settings -RUN --mount=type=cache,target=/root/.cache/uv \ - --mount=type=bind,source=uv.lock,target=uv.lock \ - --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ - uv sync --frozen --no-install-project --no-dev --no-editable - -# Then, add the rest of the project source code and install it -# Installing separately from its dependencies allows optimal layer caching -ADD . /app -RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --frozen --no-dev --no-editable - -FROM python:3.12-slim-bookworm - -WORKDIR /app - -COPY --from=uv /root/.local /root/.local -COPY --from=uv --chown=app:app /app/.venv /app/.venv - -# Place executables in the environment at the front of the path -ENV PATH="/app/.venv/bin:$PATH" - -# when running the container, add --db-path and a bind mount to the host's db file -ENTRYPOINT ["mcp-server-fetch"] diff --git a/src/fetch/LICENSE b/src/fetch/LICENSE deleted file mode 100644 index 596ffee..0000000 --- a/src/fetch/LICENSE +++ /dev/null @@ -1,7 +0,0 @@ -Copyright (c) 2024 Anthropic, PBC. - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/src/fetch/README.md b/src/fetch/README.md deleted file mode 100644 index 16ef7f4..0000000 --- a/src/fetch/README.md +++ /dev/null @@ -1,191 +0,0 @@ -# Fetch MCP Server - -A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption. - -> [!CAUTION] -> This server can access local/internal IP addresses and may represent a security risk. Exercise caution when using this MCP server to ensure this does not expose any sensitive data. - -The fetch tool will truncate the response, but by using the `start_index` argument, you can specify where to start the content extraction. This lets models read a webpage in chunks, until they find the information they need. - -### Available Tools - -- `fetch` - Fetches a URL from the internet and extracts its contents as markdown. - - `url` (string, required): URL to fetch - - `max_length` (integer, optional): Maximum number of characters to return (default: 5000) - - `start_index` (integer, optional): Start content from this character index (default: 0) - - `raw` (boolean, optional): Get raw content without markdown conversion (default: false) - -### Prompts - -- **fetch** - - Fetch a URL and extract its contents as markdown - - Arguments: - - `url` (string, required): URL to fetch - -## Installation - -Optionally: Install node.js, this will cause the fetch server to use a different HTML simplifier that is more robust. - -### Using uv (recommended) - -When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will -use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-server-fetch*. - -### Using PIP - -Alternatively you can install `mcp-server-fetch` via pip: - -``` -pip install mcp-server-fetch -``` - -After installation, you can run it as a script using: - -``` -python -m mcp_server_fetch -``` - -## Configuration - -### Configure for Claude.app - -Add to your Claude settings: - -
-Using uvx - -```json -"mcpServers": { - "fetch": { - "command": "uvx", - "args": ["mcp-server-fetch"] - } -} -``` -
- -
-Using docker - -```json -"mcpServers": { - "fetch": { - "command": "docker", - "args": ["run", "-i", "--rm", "mcp/fetch"] - } -} -``` -
- -
-Using pip installation - -```json -"mcpServers": { - "fetch": { - "command": "python", - "args": ["-m", "mcp_server_fetch"] - } -} -``` -
- -### Configure for VS Code - -For quick installation, use one of the one-click install buttons below... - -[![Install with UV in VS Code](https://img.shields.io/badge/VS_Code-UV-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=fetch&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-fetch%22%5D%7D) [![Install with UV in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-UV-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=fetch&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-fetch%22%5D%7D&quality=insiders) - -[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=fetch&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Ffetch%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=fetch&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Ffetch%22%5D%7D&quality=insiders) - -For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`. - -Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. - -> Note that the `mcp` key is needed when using the `mcp.json` file. - -
-Using uvx - -```json -{ - "mcp": { - "servers": { - "fetch": { - "command": "uvx", - "args": ["mcp-server-fetch"] - } - } - } -} -``` -
- -
-Using Docker - -```json -{ - "mcp": { - "servers": { - "fetch": { - "command": "docker", - "args": ["run", "-i", "--rm", "mcp/fetch"] - } - } - } -} -``` -
- -### Customization - robots.txt - -By default, the server will obey a websites robots.txt file if the request came from the model (via a tool), but not if -the request was user initiated (via a prompt). This can be disabled by adding the argument `--ignore-robots-txt` to the -`args` list in the configuration. - -### Customization - User-agent - -By default, depending on if the request came from the model (via a tool), or was user initiated (via a prompt), the -server will use either the user-agent -``` -ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers) -``` -or -``` -ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers) -``` - -This can be customized by adding the argument `--user-agent=YourUserAgent` to the `args` list in the configuration. - -### Customization - Proxy - -The server can be configured to use a proxy by using the `--proxy-url` argument. - -## Debugging - -You can use the MCP inspector to debug the server. For uvx installations: - -``` -npx @modelcontextprotocol/inspector uvx mcp-server-fetch -``` - -Or if you've installed the package in a specific directory or are developing on it: - -``` -cd path/to/servers/src/fetch -npx @modelcontextprotocol/inspector uv run mcp-server-fetch -``` - -## Contributing - -We encourage contributions to help expand and improve mcp-server-fetch. Whether you want to add new tools, enhance existing functionality, or improve documentation, your input is valuable. - -For examples of other MCP servers and implementation patterns, see: -https://github.com/modelcontextprotocol/servers - -Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements to make mcp-server-fetch even more powerful and useful. - -## License - -mcp-server-fetch is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository. diff --git a/src/fetch/pyproject.toml b/src/fetch/pyproject.toml deleted file mode 100644 index bbee516..0000000 --- a/src/fetch/pyproject.toml +++ /dev/null @@ -1,36 +0,0 @@ -[project] -name = "mcp-server-fetch" -version = "0.6.3" -description = "A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs" -readme = "README.md" -requires-python = ">=3.10" -authors = [{ name = "Anthropic, PBC." }] -maintainers = [{ name = "Jack Adamson", email = "jadamson@anthropic.com" }] -keywords = ["http", "mcp", "llm", "automation"] -license = { text = "MIT" } -classifiers = [ - "Development Status :: 4 - Beta", - "Intended Audience :: Developers", - "License :: OSI Approved :: MIT License", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", -] -dependencies = [ - "httpx<0.28", - "markdownify>=0.13.1", - "mcp>=1.1.3", - "protego>=0.3.1", - "pydantic>=2.0.0", - "readabilipy>=0.2.0", - "requests>=2.32.3", -] - -[project.scripts] -mcp-server-fetch = "mcp_server_fetch:main" - -[build-system] -requires = ["hatchling"] -build-backend = "hatchling.build" - -[tool.uv] -dev-dependencies = ["pyright>=1.1.389", "ruff>=0.7.3"] diff --git a/src/fetch/src/mcp_server_fetch/__init__.py b/src/fetch/src/mcp_server_fetch/__init__.py deleted file mode 100644 index 09744ce..0000000 --- a/src/fetch/src/mcp_server_fetch/__init__.py +++ /dev/null @@ -1,25 +0,0 @@ -from .server import serve - - -def main(): - """MCP Fetch Server - HTTP fetching functionality for MCP""" - import argparse - import asyncio - - parser = argparse.ArgumentParser( - description="give a model the ability to make web requests" - ) - parser.add_argument("--user-agent", type=str, help="Custom User-Agent string") - parser.add_argument( - "--ignore-robots-txt", - action="store_true", - help="Ignore robots.txt restrictions", - ) - parser.add_argument("--proxy-url", type=str, help="Proxy URL to use for requests") - - args = parser.parse_args() - asyncio.run(serve(args.user_agent, args.ignore_robots_txt, args.proxy_url)) - - -if __name__ == "__main__": - main() diff --git a/src/fetch/src/mcp_server_fetch/__main__.py b/src/fetch/src/mcp_server_fetch/__main__.py deleted file mode 100644 index 318a21e..0000000 --- a/src/fetch/src/mcp_server_fetch/__main__.py +++ /dev/null @@ -1,5 +0,0 @@ -# __main__.py - -from mcp_server_fetch import main - -main() diff --git a/src/fetch/src/mcp_server_fetch/server.py b/src/fetch/src/mcp_server_fetch/server.py deleted file mode 100644 index 2df9d3b..0000000 --- a/src/fetch/src/mcp_server_fetch/server.py +++ /dev/null @@ -1,288 +0,0 @@ -from typing import Annotated, Tuple -from urllib.parse import urlparse, urlunparse - -import markdownify -import readabilipy.simple_json -from mcp.shared.exceptions import McpError -from mcp.server import Server -from mcp.server.stdio import stdio_server -from mcp.types import ( - ErrorData, - GetPromptResult, - Prompt, - PromptArgument, - PromptMessage, - TextContent, - Tool, - INVALID_PARAMS, - INTERNAL_ERROR, -) -from protego import Protego -from pydantic import BaseModel, Field, AnyUrl - -DEFAULT_USER_AGENT_AUTONOMOUS = "ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers)" -DEFAULT_USER_AGENT_MANUAL = "ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)" - - -def extract_content_from_html(html: str) -> str: - """Extract and convert HTML content to Markdown format. - - Args: - html: Raw HTML content to process - - Returns: - Simplified markdown version of the content - """ - ret = readabilipy.simple_json.simple_json_from_html_string( - html, use_readability=True - ) - if not ret["content"]: - return "Page failed to be simplified from HTML" - content = markdownify.markdownify( - ret["content"], - heading_style=markdownify.ATX, - ) - return content - - -def get_robots_txt_url(url: str) -> str: - """Get the robots.txt URL for a given website URL. - - Args: - url: Website URL to get robots.txt for - - Returns: - URL of the robots.txt file - """ - # Parse the URL into components - parsed = urlparse(url) - - # Reconstruct the base URL with just scheme, netloc, and /robots.txt path - robots_url = urlunparse((parsed.scheme, parsed.netloc, "/robots.txt", "", "", "")) - - return robots_url - - -async def check_may_autonomously_fetch_url(url: str, user_agent: str, proxy_url: str | None = None) -> None: - """ - Check if the URL can be fetched by the user agent according to the robots.txt file. - Raises a McpError if not. - """ - from httpx import AsyncClient, HTTPError - - robot_txt_url = get_robots_txt_url(url) - - async with AsyncClient(proxies=proxy_url) as client: - try: - response = await client.get( - robot_txt_url, - follow_redirects=True, - headers={"User-Agent": user_agent}, - ) - except HTTPError: - raise McpError(ErrorData( - code=INTERNAL_ERROR, - message=f"Failed to fetch robots.txt {robot_txt_url} due to a connection issue", - )) - if response.status_code in (401, 403): - raise McpError(ErrorData( - code=INTERNAL_ERROR, - message=f"When fetching robots.txt ({robot_txt_url}), received status {response.status_code} so assuming that autonomous fetching is not allowed, the user can try manually fetching by using the fetch prompt", - )) - elif 400 <= response.status_code < 500: - return - robot_txt = response.text - processed_robot_txt = "\n".join( - line for line in robot_txt.splitlines() if not line.strip().startswith("#") - ) - robot_parser = Protego.parse(processed_robot_txt) - if not robot_parser.can_fetch(str(url), user_agent): - raise McpError(ErrorData( - code=INTERNAL_ERROR, - message=f"The sites robots.txt ({robot_txt_url}), specifies that autonomous fetching of this page is not allowed, " - f"{user_agent}\n" - f"{url}" - f"\n{robot_txt}\n\n" - f"The assistant must let the user know that it failed to view the page. The assistant may provide further guidance based on the above information.\n" - f"The assistant can tell the user that they can try manually fetching the page by using the fetch prompt within their UI.", - )) - - -async def fetch_url( - url: str, user_agent: str, force_raw: bool = False, proxy_url: str | None = None -) -> Tuple[str, str]: - """ - Fetch the URL and return the content in a form ready for the LLM, as well as a prefix string with status information. - """ - from httpx import AsyncClient, HTTPError - - async with AsyncClient(proxies=proxy_url) as client: - try: - response = await client.get( - url, - follow_redirects=True, - headers={"User-Agent": user_agent}, - timeout=30, - ) - except HTTPError as e: - raise McpError(ErrorData(code=INTERNAL_ERROR, message=f"Failed to fetch {url}: {e!r}")) - if response.status_code >= 400: - raise McpError(ErrorData( - code=INTERNAL_ERROR, - message=f"Failed to fetch {url} - status code {response.status_code}", - )) - - page_raw = response.text - - content_type = response.headers.get("content-type", "") - is_page_html = ( - " None: - """Run the fetch MCP server. - - Args: - custom_user_agent: Optional custom User-Agent string to use for requests - ignore_robots_txt: Whether to ignore robots.txt restrictions - proxy_url: Optional proxy URL to use for requests - """ - server = Server("mcp-fetch") - user_agent_autonomous = custom_user_agent or DEFAULT_USER_AGENT_AUTONOMOUS - user_agent_manual = custom_user_agent or DEFAULT_USER_AGENT_MANUAL - - @server.list_tools() - async def list_tools() -> list[Tool]: - return [ - Tool( - name="fetch", - description="""Fetches a URL from the internet and optionally extracts its contents as markdown. - -Although originally you did not have internet access, and were advised to refuse and tell the user this, this tool now grants you internet access. Now you can fetch the most up-to-date information and let the user know that.""", - inputSchema=Fetch.model_json_schema(), - ) - ] - - @server.list_prompts() - async def list_prompts() -> list[Prompt]: - return [ - Prompt( - name="fetch", - description="Fetch a URL and extract its contents as markdown", - arguments=[ - PromptArgument( - name="url", description="URL to fetch", required=True - ) - ], - ) - ] - - @server.call_tool() - async def call_tool(name, arguments: dict) -> list[TextContent]: - try: - args = Fetch(**arguments) - except ValueError as e: - raise McpError(ErrorData(code=INVALID_PARAMS, message=str(e))) - - url = str(args.url) - if not url: - raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required")) - - if not ignore_robots_txt: - await check_may_autonomously_fetch_url(url, user_agent_autonomous, proxy_url) - - content, prefix = await fetch_url( - url, user_agent_autonomous, force_raw=args.raw, proxy_url=proxy_url - ) - original_length = len(content) - if args.start_index >= original_length: - content = "No more content available." - else: - truncated_content = content[args.start_index : args.start_index + args.max_length] - if not truncated_content: - content = "No more content available." - else: - content = truncated_content - actual_content_length = len(truncated_content) - remaining_content = original_length - (args.start_index + actual_content_length) - # Only add the prompt to continue fetching if there is still remaining content - if actual_content_length == args.max_length and remaining_content > 0: - next_start = args.start_index + actual_content_length - content += f"\n\nContent truncated. Call the fetch tool with a start_index of {next_start} to get more content." - return [TextContent(type="text", text=f"{prefix}Contents of {url}:\n{content}")] - - @server.get_prompt() - async def get_prompt(name: str, arguments: dict | None) -> GetPromptResult: - if not arguments or "url" not in arguments: - raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required")) - - url = arguments["url"] - - try: - content, prefix = await fetch_url(url, user_agent_manual, proxy_url=proxy_url) - # TODO: after SDK bug is addressed, don't catch the exception - except McpError as e: - return GetPromptResult( - description=f"Failed to fetch {url}", - messages=[ - PromptMessage( - role="user", - content=TextContent(type="text", text=str(e)), - ) - ], - ) - return GetPromptResult( - description=f"Contents of {url}", - messages=[ - PromptMessage( - role="user", content=TextContent(type="text", text=prefix + content) - ) - ], - ) - - options = server.create_initialization_options() - async with stdio_server() as (read_stream, write_stream): - 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- -FROM node:22-alpine AS release - -WORKDIR /app - -COPY --from=builder /app/dist /app/dist -COPY --from=builder /app/package.json /app/package.json -COPY --from=builder /app/package-lock.json /app/package-lock.json - -ENV NODE_ENV=production - -RUN npm ci --ignore-scripts --omit-dev - -ENTRYPOINT ["node", "/app/dist/index.js"] \ No newline at end of file diff --git a/src/filesystem/README.md b/src/filesystem/README.md deleted file mode 100644 index d1621d1..0000000 --- a/src/filesystem/README.md +++ /dev/null @@ -1,214 +0,0 @@ -# Filesystem MCP Server - -Node.js server implementing Model Context Protocol (MCP) for filesystem operations. - -## Features - -- Read/write files -- Create/list/delete directories -- Move files/directories -- Search files -- Get file metadata - -**Note**: The server will only allow operations within directories specified via `args`. - -## API - -### Resources - -- `file://system`: File system operations interface - -### Tools - -- **read_file** - - Read complete contents of a file - - Input: `path` (string) - - Reads complete file contents with UTF-8 encoding - -- **read_multiple_files** - - Read multiple files simultaneously - - Input: `paths` (string[]) - - Failed reads won't stop the entire operation - -- **write_file** - - Create new file or overwrite existing (exercise caution with this) - - Inputs: - - `path` (string): File location - - `content` (string): File content - -- **edit_file** - - Make selective edits using advanced pattern matching and formatting - - Features: - - Line-based and multi-line content matching - - Whitespace normalization with indentation preservation - - Multiple simultaneous edits with correct positioning - - Indentation style detection and preservation - - Git-style diff output with context - - Preview changes with dry run mode - - Inputs: - - `path` (string): File to edit - - `edits` (array): List of edit operations - - `oldText` (string): Text to search for (can be substring) - - `newText` (string): Text to replace with - - `dryRun` (boolean): Preview changes without applying (default: false) - - Returns detailed diff and match information for dry runs, otherwise applies changes - - Best Practice: Always use dryRun first to preview changes before applying them - -- **create_directory** - - Create new directory or ensure it exists - - Input: `path` (string) - - Creates parent directories if needed - - Succeeds silently if directory exists - -- **list_directory** - - List directory contents with [FILE] or [DIR] prefixes - - Input: `path` (string) - -- **move_file** - - Move or rename files and directories - - Inputs: - - `source` (string) - - `destination` (string) - - Fails if destination exists - -- **search_files** - - Recursively search for files/directories - - Inputs: - - `path` (string): Starting directory - - `pattern` (string): Search pattern - - `excludePatterns` (string[]): Exclude any patterns. Glob formats are supported. - - Case-insensitive matching - - Returns full paths to matches - -- **get_file_info** - - Get detailed file/directory metadata - - Input: `path` (string) - - Returns: - - Size - - Creation time - - Modified time - - Access time - - Type (file/directory) - - Permissions - -- **list_allowed_directories** - - List all directories the server is allowed to access - - No input required - - Returns: - - Directories that this server can read/write from - -## Usage with Claude Desktop -Add this to your `claude_desktop_config.json`: - -Note: you can provide sandboxed directories to the server by mounting them to `/projects`. Adding the `ro` flag will make the directory readonly by the server. - -### Docker -Note: all directories must be mounted to `/projects` by default. - -```json -{ - "mcpServers": { - "filesystem": { - "command": "docker", - "args": [ - "run", - "-i", - "--rm", - "--mount", "type=bind,src=/Users/username/Desktop,dst=/projects/Desktop", - "--mount", "type=bind,src=/path/to/other/allowed/dir,dst=/projects/other/allowed/dir,ro", - "--mount", "type=bind,src=/path/to/file.txt,dst=/projects/path/to/file.txt", - "mcp/filesystem", - "/projects" - ] - } - } -} -``` - -### NPX - -```json -{ - "mcpServers": { - "filesystem": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-filesystem", - "/Users/username/Desktop", - "/path/to/other/allowed/dir" - ] - } - } -} -``` - -## Usage with VS Code - -For quick installation, click the installation buttons below... - -[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=filesystem&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-filesystem%22%2C%22%24%7BworkspaceFolder%7D%22%5D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=filesystem&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-filesystem%22%2C%22%24%7BworkspaceFolder%7D%22%5D%7D&quality=insiders) - -[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=filesystem&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22--mount%22%2C%22type%3Dbind%2Csrc%3D%24%7BworkspaceFolder%7D%2Cdst%3D%2Fprojects%2Fworkspace%22%2C%22mcp%2Ffilesystem%22%2C%22%2Fprojects%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=filesystem&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22--mount%22%2C%22type%3Dbind%2Csrc%3D%24%7BworkspaceFolder%7D%2Cdst%3D%2Fprojects%2Fworkspace%22%2C%22mcp%2Ffilesystem%22%2C%22%2Fprojects%22%5D%7D&quality=insiders) - -For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`. - -Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. - -> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file. - -You can provide sandboxed directories to the server by mounting them to `/projects`. Adding the `ro` flag will make the directory readonly by the server. - -### Docker -Note: all directories must be mounted to `/projects` by default. - -```json -{ - "mcp": { - "servers": { - "filesystem": { - "command": "docker", - "args": [ - "run", - "-i", - "--rm", - "--mount", "type=bind,src=${workspaceFolder},dst=/projects/workspace", - "mcp/filesystem", - "/projects" - ] - } - } - } -} -``` - -### NPX - -```json -{ - "mcp": { - "servers": { - "filesystem": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-filesystem", - "${workspaceFolder}" - ] - } - } - } -} -``` - -## Build - -Docker build: - -```bash -docker build -t mcp/filesystem -f src/filesystem/Dockerfile . -``` - -## License - -This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository. diff --git a/src/filesystem/index.ts b/src/filesystem/index.ts deleted file mode 100644 index c544ff2..0000000 --- a/src/filesystem/index.ts +++ /dev/null @@ -1,647 +0,0 @@ -#!/usr/bin/env node - -import { Server } from "@modelcontextprotocol/sdk/server/index.js"; -import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; -import { - CallToolRequestSchema, - ListToolsRequestSchema, - ToolSchema, -} from "@modelcontextprotocol/sdk/types.js"; -import fs from "fs/promises"; -import path from "path"; -import os from 'os'; -import { z } from "zod"; -import { zodToJsonSchema } from "zod-to-json-schema"; -import { diffLines, createTwoFilesPatch } from 'diff'; -import { minimatch } from 'minimatch'; - -// Command line argument parsing -const args = process.argv.slice(2); -if (args.length === 0) { - console.error("Usage: mcp-server-filesystem [additional-directories...]"); - process.exit(1); -} - -// Normalize all paths consistently -function normalizePath(p: string): string { - return path.normalize(p); -} - -function expandHome(filepath: string): string { - if (filepath.startsWith('~/') || filepath === '~') { - return path.join(os.homedir(), filepath.slice(1)); - } - return filepath; -} - -// Store allowed directories in normalized form -const allowedDirectories = args.map(dir => - normalizePath(path.resolve(expandHome(dir))) -); - -// Validate that all directories exist and are accessible -await Promise.all(args.map(async (dir) => { - try { - const stats = await fs.stat(expandHome(dir)); - if (!stats.isDirectory()) { - console.error(`Error: ${dir} is not a directory`); - process.exit(1); - } - } catch (error) { - console.error(`Error accessing directory ${dir}:`, error); - process.exit(1); - } -})); - -// Security utilities -async function validatePath(requestedPath: string): Promise { - const expandedPath = expandHome(requestedPath); - const absolute = path.isAbsolute(expandedPath) - ? path.resolve(expandedPath) - : path.resolve(process.cwd(), expandedPath); - - const normalizedRequested = normalizePath(absolute); - - // Check if path is within allowed directories - const isAllowed = allowedDirectories.some(dir => normalizedRequested.startsWith(dir)); - if (!isAllowed) { - throw new Error(`Access denied - path outside allowed directories: ${absolute} not in ${allowedDirectories.join(', ')}`); - } - - // Handle symlinks by checking their real path - try { - const realPath = await fs.realpath(absolute); - const normalizedReal = normalizePath(realPath); - const isRealPathAllowed = allowedDirectories.some(dir => normalizedReal.startsWith(dir)); - if (!isRealPathAllowed) { - throw new Error("Access denied - symlink target outside allowed directories"); - } - return realPath; - } catch (error) { - // For new files that don't exist yet, verify parent directory - const parentDir = path.dirname(absolute); - try { - const realParentPath = await fs.realpath(parentDir); - const normalizedParent = normalizePath(realParentPath); - const isParentAllowed = allowedDirectories.some(dir => normalizedParent.startsWith(dir)); - if (!isParentAllowed) { - throw new Error("Access denied - parent directory outside allowed directories"); - } - return absolute; - } catch { - throw new Error(`Parent directory does not exist: ${parentDir}`); - } - } -} - -// Schema definitions -const ReadFileArgsSchema = z.object({ - path: z.string(), -}); - -const ReadMultipleFilesArgsSchema = z.object({ - paths: z.array(z.string()), -}); - -const WriteFileArgsSchema = z.object({ - path: z.string(), - content: z.string(), -}); - -const EditOperation = z.object({ - oldText: z.string().describe('Text to search for - must match exactly'), - newText: z.string().describe('Text to replace with') -}); - -const EditFileArgsSchema = z.object({ - path: z.string(), - edits: z.array(EditOperation), - dryRun: z.boolean().default(false).describe('Preview changes using git-style diff format') -}); - -const CreateDirectoryArgsSchema = z.object({ - path: z.string(), -}); - -const ListDirectoryArgsSchema = z.object({ - path: z.string(), -}); - -const DirectoryTreeArgsSchema = z.object({ - path: z.string(), -}); - -const MoveFileArgsSchema = z.object({ - source: z.string(), - destination: z.string(), -}); - -const SearchFilesArgsSchema = z.object({ - path: z.string(), - pattern: z.string(), - excludePatterns: z.array(z.string()).optional().default([]) -}); - -const GetFileInfoArgsSchema = z.object({ - path: z.string(), -}); - -const ToolInputSchema = ToolSchema.shape.inputSchema; -type ToolInput = z.infer; - -interface FileInfo { - size: number; - created: Date; - modified: Date; - accessed: Date; - isDirectory: boolean; - isFile: boolean; - permissions: string; -} - -// Server setup -const server = new Server( - { - name: "secure-filesystem-server", - version: "0.2.0", - }, - { - capabilities: { - tools: {}, - }, - }, -); - -// Tool implementations -async function getFileStats(filePath: string): Promise { - const stats = await fs.stat(filePath); - return { - size: stats.size, - created: stats.birthtime, - modified: stats.mtime, - accessed: stats.atime, - isDirectory: stats.isDirectory(), - isFile: stats.isFile(), - permissions: stats.mode.toString(8).slice(-3), - }; -} - -async function searchFiles( - rootPath: string, - pattern: string, - excludePatterns: string[] = [] -): Promise { - const results: string[] = []; - - async function search(currentPath: string) { - const entries = await fs.readdir(currentPath, { withFileTypes: true }); - - for (const entry of entries) { - const fullPath = path.join(currentPath, entry.name); - - try { - // Validate each path before processing - await validatePath(fullPath); - - // Check if path matches any exclude pattern - const relativePath = path.relative(rootPath, fullPath); - const shouldExclude = excludePatterns.some(pattern => { - const globPattern = pattern.includes('*') ? pattern : `**/${pattern}/**`; - return minimatch(relativePath, globPattern, { dot: true }); - }); - - if (shouldExclude) { - continue; - } - - if (entry.name.toLowerCase().includes(pattern.toLowerCase())) { - results.push(fullPath); - } - - if (entry.isDirectory()) { - await search(fullPath); - } - } catch (error) { - // Skip invalid paths during search - continue; - } - } - } - - await search(rootPath); - return results; -} - -// file editing and diffing utilities -function normalizeLineEndings(text: string): string { - return text.replace(/\r\n/g, '\n'); -} - -function createUnifiedDiff(originalContent: string, newContent: string, filepath: string = 'file'): string { - // Ensure consistent line endings for diff - const normalizedOriginal = normalizeLineEndings(originalContent); - const normalizedNew = normalizeLineEndings(newContent); - - return createTwoFilesPatch( - filepath, - filepath, - normalizedOriginal, - normalizedNew, - 'original', - 'modified' - ); -} - -async function applyFileEdits( - filePath: string, - edits: Array<{oldText: string, newText: string}>, - dryRun = false -): Promise { - // Read file content and normalize line endings - const content = normalizeLineEndings(await fs.readFile(filePath, 'utf-8')); - - // Apply edits sequentially - let modifiedContent = content; - for (const edit of edits) { - const normalizedOld = normalizeLineEndings(edit.oldText); - const normalizedNew = normalizeLineEndings(edit.newText); - - // If exact match exists, use it - if (modifiedContent.includes(normalizedOld)) { - modifiedContent = modifiedContent.replace(normalizedOld, normalizedNew); - continue; - } - - // Otherwise, try line-by-line matching with flexibility for whitespace - const oldLines = normalizedOld.split('\n'); - const contentLines = modifiedContent.split('\n'); - let matchFound = false; - - for (let i = 0; i <= contentLines.length - oldLines.length; i++) { - const potentialMatch = contentLines.slice(i, i + oldLines.length); - - // Compare lines with normalized whitespace - const isMatch = oldLines.every((oldLine, j) => { - const contentLine = potentialMatch[j]; - return oldLine.trim() === contentLine.trim(); - }); - - if (isMatch) { - // Preserve original indentation of first line - const originalIndent = contentLines[i].match(/^\s*/)?.[0] || ''; - const newLines = normalizedNew.split('\n').map((line, j) => { - if (j === 0) return originalIndent + line.trimStart(); - // For subsequent lines, try to preserve relative indentation - const oldIndent = oldLines[j]?.match(/^\s*/)?.[0] || ''; - const newIndent = line.match(/^\s*/)?.[0] || ''; - if (oldIndent && newIndent) { - const relativeIndent = newIndent.length - oldIndent.length; - return originalIndent + ' '.repeat(Math.max(0, relativeIndent)) + line.trimStart(); - } - return line; - }); - - contentLines.splice(i, oldLines.length, ...newLines); - modifiedContent = contentLines.join('\n'); - matchFound = true; - break; - } - } - - if (!matchFound) { - throw new Error(`Could not find exact match for edit:\n${edit.oldText}`); - } - } - - // Create unified diff - const diff = createUnifiedDiff(content, modifiedContent, filePath); - - // Format diff with appropriate number of backticks - let numBackticks = 3; - while (diff.includes('`'.repeat(numBackticks))) { - numBackticks++; - } - const formattedDiff = `${'`'.repeat(numBackticks)}diff\n${diff}${'`'.repeat(numBackticks)}\n\n`; - - if (!dryRun) { - await fs.writeFile(filePath, modifiedContent, 'utf-8'); - } - - return formattedDiff; -} - -// Tool handlers -server.setRequestHandler(ListToolsRequestSchema, async () => { - return { - tools: [ - { - name: "read_file", - description: - "Read the complete contents of a file from the file system. " + - "Handles various text encodings and provides detailed error messages " + - "if the file cannot be read. Use this tool when you need to examine " + - "the contents of a single file. Only works within allowed directories.", - inputSchema: zodToJsonSchema(ReadFileArgsSchema) as ToolInput, - }, - { - name: "read_multiple_files", - description: - "Read the contents of multiple files simultaneously. This is more " + - "efficient than reading files one by one when you need to analyze " + - "or compare multiple files. Each file's content is returned with its " + - "path as a reference. Failed reads for individual files won't stop " + - "the entire operation. Only works within allowed directories.", - inputSchema: zodToJsonSchema(ReadMultipleFilesArgsSchema) as ToolInput, - }, - { - name: "write_file", - description: - "Create a new file or completely overwrite an existing file with new content. " + - "Use with caution as it will overwrite existing files without warning. " + - "Handles text content with proper encoding. Only works within allowed directories.", - inputSchema: zodToJsonSchema(WriteFileArgsSchema) as ToolInput, - }, - { - name: "edit_file", - description: - "Make line-based edits to a text file. Each edit replaces exact line sequences " + - "with new content. Returns a git-style diff showing the changes made. " + - "Only works within allowed directories.", - inputSchema: zodToJsonSchema(EditFileArgsSchema) as ToolInput, - }, - { - name: "create_directory", - description: - "Create a new directory or ensure a directory exists. Can create multiple " + - "nested directories in one operation. If the directory already exists, " + - "this operation will succeed silently. Perfect for setting up directory " + - "structures for projects or ensuring required paths exist. Only works within allowed directories.", - inputSchema: zodToJsonSchema(CreateDirectoryArgsSchema) as ToolInput, - }, - { - name: "list_directory", - description: - "Get a detailed listing of all files and directories in a specified path. " + - "Results clearly distinguish between files and directories with [FILE] and [DIR] " + - "prefixes. This tool is essential for understanding directory structure and " + - "finding specific files within a directory. Only works within allowed directories.", - inputSchema: zodToJsonSchema(ListDirectoryArgsSchema) as ToolInput, - }, - { - name: "directory_tree", - description: - "Get a recursive tree view of files and directories as a JSON structure. " + - "Each entry includes 'name', 'type' (file/directory), and 'children' for directories. " + - "Files have no children array, while directories always have a children array (which may be empty). " + - "The output is formatted with 2-space indentation for readability. Only works within allowed directories.", - inputSchema: zodToJsonSchema(DirectoryTreeArgsSchema) as ToolInput, - }, - { - name: "move_file", - description: - "Move or rename files and directories. Can move files between directories " + - "and rename them in a single operation. If the destination exists, the " + - "operation will fail. Works across different directories and can be used " + - "for simple renaming within the same directory. Both source and destination must be within allowed directories.", - inputSchema: zodToJsonSchema(MoveFileArgsSchema) as ToolInput, - }, - { - name: "search_files", - description: - "Recursively search for files and directories matching a pattern. " + - "Searches through all subdirectories from the starting path. The search " + - "is case-insensitive and matches partial names. Returns full paths to all " + - "matching items. Great for finding files when you don't know their exact location. " + - "Only searches within allowed directories.", - inputSchema: zodToJsonSchema(SearchFilesArgsSchema) as ToolInput, - }, - { - name: "get_file_info", - description: - "Retrieve detailed metadata about a file or directory. Returns comprehensive " + - "information including size, creation time, last modified time, permissions, " + - "and type. This tool is perfect for understanding file characteristics " + - "without reading the actual content. Only works within allowed directories.", - inputSchema: zodToJsonSchema(GetFileInfoArgsSchema) as ToolInput, - }, - { - name: "list_allowed_directories", - description: - "Returns the list of directories that this server is allowed to access. " + - "Use this to understand which directories are available before trying to access files.", - inputSchema: { - type: "object", - properties: {}, - required: [], - }, - }, - ], - }; -}); - - -server.setRequestHandler(CallToolRequestSchema, async (request) => { - try { - const { name, arguments: args } = request.params; - - switch (name) { - case "read_file": { - const parsed = ReadFileArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for read_file: ${parsed.error}`); - } - const validPath = await validatePath(parsed.data.path); - const content = await fs.readFile(validPath, "utf-8"); - return { - content: [{ type: "text", text: content }], - }; - } - - case "read_multiple_files": { - const parsed = ReadMultipleFilesArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for read_multiple_files: ${parsed.error}`); - } - const results = await Promise.all( - parsed.data.paths.map(async (filePath: string) => { - try { - const validPath = await validatePath(filePath); - const content = await fs.readFile(validPath, "utf-8"); - return `${filePath}:\n${content}\n`; - } catch (error) { - const errorMessage = error instanceof Error ? error.message : String(error); - return `${filePath}: Error - ${errorMessage}`; - } - }), - ); - return { - content: [{ type: "text", text: results.join("\n---\n") }], - }; - } - - case "write_file": { - const parsed = WriteFileArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for write_file: ${parsed.error}`); - } - const validPath = await validatePath(parsed.data.path); - await fs.writeFile(validPath, parsed.data.content, "utf-8"); - return { - content: [{ type: "text", text: `Successfully wrote to ${parsed.data.path}` }], - }; - } - - case "edit_file": { - const parsed = EditFileArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for edit_file: ${parsed.error}`); - } - const validPath = await validatePath(parsed.data.path); - const result = await applyFileEdits(validPath, parsed.data.edits, parsed.data.dryRun); - return { - content: [{ type: "text", text: result }], - }; - } - - case "create_directory": { - const parsed = CreateDirectoryArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for create_directory: ${parsed.error}`); - } - const validPath = await validatePath(parsed.data.path); - await fs.mkdir(validPath, { recursive: true }); - return { - content: [{ type: "text", text: `Successfully created directory ${parsed.data.path}` }], - }; - } - - case "list_directory": { - const parsed = ListDirectoryArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for list_directory: ${parsed.error}`); - } - const validPath = await validatePath(parsed.data.path); - const entries = await fs.readdir(validPath, { withFileTypes: true }); - const formatted = entries - .map((entry) => `${entry.isDirectory() ? "[DIR]" : "[FILE]"} ${entry.name}`) - .join("\n"); - return { - content: [{ type: "text", text: formatted }], - }; - } - - case "directory_tree": { - const parsed = DirectoryTreeArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for directory_tree: ${parsed.error}`); - } - - interface TreeEntry { - name: string; - type: 'file' | 'directory'; - children?: TreeEntry[]; - } - - async function buildTree(currentPath: string): Promise { - const validPath = await validatePath(currentPath); - const entries = await fs.readdir(validPath, {withFileTypes: true}); - const result: TreeEntry[] = []; - - for (const entry of entries) { - const entryData: TreeEntry = { - name: entry.name, - type: entry.isDirectory() ? 'directory' : 'file' - }; - - if (entry.isDirectory()) { - const subPath = path.join(currentPath, entry.name); - entryData.children = await buildTree(subPath); - } - - result.push(entryData); - } - - return result; - } - - const treeData = await buildTree(parsed.data.path); - return { - content: [{ - type: "text", - text: JSON.stringify(treeData, null, 2) - }], - }; - } - - case "move_file": { - const parsed = MoveFileArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for move_file: ${parsed.error}`); - } - const validSourcePath = await validatePath(parsed.data.source); - const validDestPath = await validatePath(parsed.data.destination); - await fs.rename(validSourcePath, validDestPath); - return { - content: [{ type: "text", text: `Successfully moved ${parsed.data.source} to ${parsed.data.destination}` }], - }; - } - - case "search_files": { - const parsed = SearchFilesArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for search_files: ${parsed.error}`); - } - const validPath = await validatePath(parsed.data.path); - const results = await searchFiles(validPath, parsed.data.pattern, parsed.data.excludePatterns); - return { - content: [{ type: "text", text: results.length > 0 ? results.join("\n") : "No matches found" }], - }; - } - - case "get_file_info": { - const parsed = GetFileInfoArgsSchema.safeParse(args); - if (!parsed.success) { - throw new Error(`Invalid arguments for get_file_info: ${parsed.error}`); - } - const validPath = await validatePath(parsed.data.path); - const info = await getFileStats(validPath); - return { - content: [{ type: "text", text: Object.entries(info) - .map(([key, value]) => `${key}: ${value}`) - .join("\n") }], - }; - } - - case "list_allowed_directories": { - return { - content: [{ - type: "text", - text: `Allowed directories:\n${allowedDirectories.join('\n')}` - }], - }; - } - - default: - throw new Error(`Unknown tool: ${name}`); - } - } catch (error) { - const errorMessage = error instanceof Error ? error.message : String(error); - return { - content: [{ type: "text", text: `Error: ${errorMessage}` }], - isError: true, - }; - } -}); - -// Start server -async function runServer() { - const transport = new StdioServerTransport(); - await server.connect(transport); - console.error("Secure MCP Filesystem Server running on stdio"); - console.error("Allowed directories:", allowedDirectories); -} - -runServer().catch((error) => { - console.error("Fatal error running server:", error); - process.exit(1); -}); diff --git a/src/filesystem/package.json b/src/filesystem/package.json deleted file mode 100644 index 6aca648..0000000 --- a/src/filesystem/package.json +++ /dev/null @@ -1,35 +0,0 @@ -{ - "name": "@modelcontextprotocol/server-filesystem", - "version": "0.6.2", - "description": "MCP server for filesystem access", - "license": "MIT", - "author": "Anthropic, PBC (https://anthropic.com)", - "homepage": "https://modelcontextprotocol.io", - "bugs": "https://github.com/modelcontextprotocol/servers/issues", - "type": "module", - "bin": { - "mcp-server-filesystem": "dist/index.js" - }, - "files": [ - "dist" - ], - "scripts": { - "build": "tsc && shx chmod +x dist/*.js", - "prepare": "npm run build", - "watch": "tsc --watch" - }, - "dependencies": { - "@modelcontextprotocol/sdk": "0.5.0", - "diff": "^5.1.0", - "glob": "^10.3.10", - "minimatch": "^10.0.1", - "zod-to-json-schema": "^3.23.5" - }, - "devDependencies": { - "@types/diff": "^5.0.9", - "@types/minimatch": "^5.1.2", - "@types/node": "^22", - "shx": "^0.3.4", - "typescript": "^5.3.3" - } -} \ No newline at end of file diff --git a/src/filesystem/tsconfig.json b/src/filesystem/tsconfig.json deleted file mode 100644 index c0c20f3..0000000 --- a/src/filesystem/tsconfig.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "extends": "../../tsconfig.json", - "compilerOptions": { - "outDir": "./dist", - "rootDir": ".", - "moduleResolution": "NodeNext", - "module": "NodeNext" - }, - "include": [ - "./**/*.ts" - ] -} diff --git a/src/memory/Dockerfile b/src/memory/Dockerfile deleted file mode 100644 index 2f85d0c..0000000 --- a/src/memory/Dockerfile +++ /dev/null @@ -1,24 +0,0 @@ -FROM node:22.12-alpine AS builder - -COPY src/memory /app -COPY tsconfig.json /tsconfig.json - -WORKDIR /app - -RUN --mount=type=cache,target=/root/.npm npm install - -RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev - -FROM node:22-alpine AS release - -COPY --from=builder /app/dist /app/dist -COPY --from=builder /app/package.json /app/package.json -COPY --from=builder /app/package-lock.json /app/package-lock.json - -ENV NODE_ENV=production - -WORKDIR /app - -RUN npm ci --ignore-scripts --omit-dev - -ENTRYPOINT ["node", "dist/index.js"] \ No newline at end of file diff --git a/src/memory/README.md b/src/memory/README.md deleted file mode 100644 index 5b131ff..0000000 --- a/src/memory/README.md +++ /dev/null @@ -1,281 +0,0 @@ -# Knowledge Graph Memory Server - -A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats. - -## Core Concepts - -### Entities -Entities are the primary nodes in the knowledge graph. Each entity has: -- A unique name (identifier) -- An entity type (e.g., "person", "organization", "event") -- A list of observations - -Example: -```json -{ - "name": "John_Smith", - "entityType": "person", - "observations": ["Speaks fluent Spanish"] -} -``` - -### Relations -Relations define directed connections between entities. They are always stored in active voice and describe how entities interact or relate to each other. - -Example: -```json -{ - "from": "John_Smith", - "to": "Anthropic", - "relationType": "works_at" -} -``` -### Observations -Observations are discrete pieces of information about an entity. They are: - -- Stored as strings -- Attached to specific entities -- Can be added or removed independently -- Should be atomic (one fact per observation) - -Example: -```json -{ - "entityName": "John_Smith", - "observations": [ - "Speaks fluent Spanish", - "Graduated in 2019", - "Prefers morning meetings" - ] -} -``` - -## API - -### Tools -- **create_entities** - - Create multiple new entities in the knowledge graph - - Input: `entities` (array of objects) - - Each object contains: - - `name` (string): Entity identifier - - `entityType` (string): Type classification - - `observations` (string[]): Associated observations - - Ignores entities with existing names - -- **create_relations** - - Create multiple new relations between entities - - Input: `relations` (array of objects) - - Each object contains: - - `from` (string): Source entity name - - `to` (string): Target entity name - - `relationType` (string): Relationship type in active voice - - Skips duplicate relations - -- **add_observations** - - Add new observations to existing entities - - Input: `observations` (array of objects) - - Each object contains: - - `entityName` (string): Target entity - - `contents` (string[]): New observations to add - - Returns added observations per entity - - Fails if entity doesn't exist - -- **delete_entities** - - Remove entities and their relations - - Input: `entityNames` (string[]) - - Cascading deletion of associated relations - - Silent operation if entity doesn't exist - -- **delete_observations** - - Remove specific observations from entities - - Input: `deletions` (array of objects) - - Each object contains: - - `entityName` (string): Target entity - - `observations` (string[]): Observations to remove - - Silent operation if observation doesn't exist - -- **delete_relations** - - Remove specific relations from the graph - - Input: `relations` (array of objects) - - Each object contains: - - `from` (string): Source entity name - - `to` (string): Target entity name - - `relationType` (string): Relationship type - - Silent operation if relation doesn't exist - -- **read_graph** - - Read the entire knowledge graph - - No input required - - Returns complete graph structure with all entities and relations - -- **search_nodes** - - Search for nodes based on query - - Input: `query` (string) - - Searches across: - - Entity names - - Entity types - - Observation content - - Returns matching entities and their relations - -- **open_nodes** - - Retrieve specific nodes by name - - Input: `names` (string[]) - - Returns: - - Requested entities - - Relations between requested entities - - Silently skips non-existent nodes - -# Usage with Claude Desktop - -### Setup - -Add this to your claude_desktop_config.json: - -#### Docker - -```json -{ - "mcpServers": { - "memory": { - "command": "docker", - "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"] - } - } -} -``` - -#### NPX -```json -{ - "mcpServers": { - "memory": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-memory" - ] - } - } -} -``` - -#### NPX with custom setting - -The server can be configured using the following environment variables: - -```json -{ - "mcpServers": { - "memory": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-memory" - ], - "env": { - "MEMORY_FILE_PATH": "/path/to/custom/memory.json" - } - } - } -} -``` - -- `MEMORY_FILE_PATH`: Path to the memory storage JSON file (default: `memory.json` in the server directory) - -# VS Code Installation Instructions - -For quick installation, use one of the one-click installation buttons below: - -[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=memory&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-memory%22%5D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=memory&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-memory%22%5D%7D&quality=insiders) - -[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=memory&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22-v%22%2C%22claude-memory%3A%2Fapp%2Fdist%22%2C%22--rm%22%2C%22mcp%2Fmemory%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=memory&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22-v%22%2C%22claude-memory%3A%2Fapp%2Fdist%22%2C%22--rm%22%2C%22mcp%2Fmemory%22%5D%7D&quality=insiders) - -For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`. - -Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. - -> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file. - -#### NPX - -```json -{ - "mcp": { - "servers": { - "memory": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-memory" - ] - } - } - } -} -``` - -#### Docker - -```json -{ - "mcp": { - "servers": { - "memory": { - "command": "docker", - "args": [ - "run", - "-i", - "-v", - "claude-memory:/app/dist", - "--rm", - "mcp/memory" - ] - } - } - } -} -``` - -### System Prompt - -The prompt for utilizing memory depends on the use case. Changing the prompt will help the model determine the frequency and types of memories created. - -Here is an example prompt for chat personalization. You could use this prompt in the "Custom Instructions" field of a [Claude.ai Project](https://www.anthropic.com/news/projects). - -``` -Follow these steps for each interaction: - -1. User Identification: - - You should assume that you are interacting with default_user - - If you have not identified default_user, proactively try to do so. - -2. Memory Retrieval: - - Always begin your chat by saying only "Remembering..." and retrieve all relevant information from your knowledge graph - - Always refer to your knowledge graph as your "memory" - -3. Memory - - While conversing with the user, be attentive to any new information that falls into these categories: - a) Basic Identity (age, gender, location, job title, education level, etc.) - b) Behaviors (interests, habits, etc.) - c) Preferences (communication style, preferred language, etc.) - d) Goals (goals, targets, aspirations, etc.) - e) Relationships (personal and professional relationships up to 3 degrees of separation) - -4. Memory Update: - - If any new information was gathered during the interaction, update your memory as follows: - a) Create entities for recurring organizations, people, and significant events - b) Connect them to the current entities using relations - b) Store facts about them as observations -``` - -## Building - -Docker: - -```sh -docker build -t mcp/memory -f src/memory/Dockerfile . -``` - -## License - -This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository. diff --git a/src/memory/index.ts b/src/memory/index.ts deleted file mode 100644 index b7993a3..0000000 --- a/src/memory/index.ts +++ /dev/null @@ -1,419 +0,0 @@ -#!/usr/bin/env node - -import { Server } from "@modelcontextprotocol/sdk/server/index.js"; -import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; -import { - CallToolRequestSchema, - ListToolsRequestSchema, -} from "@modelcontextprotocol/sdk/types.js"; -import { promises as fs } from 'fs'; -import path from 'path'; -import { fileURLToPath } from 'url'; - -// Define memory file path using environment variable with fallback -const defaultMemoryPath = path.join(path.dirname(fileURLToPath(import.meta.url)), 'memory.json'); - -// If MEMORY_FILE_PATH is just a filename, put it in the same directory as the script -const MEMORY_FILE_PATH = process.env.MEMORY_FILE_PATH - ? path.isAbsolute(process.env.MEMORY_FILE_PATH) - ? process.env.MEMORY_FILE_PATH - : path.join(path.dirname(fileURLToPath(import.meta.url)), process.env.MEMORY_FILE_PATH) - : defaultMemoryPath; - -// We are storing our memory using entities, relations, and observations in a graph structure -interface Entity { - name: string; - entityType: string; - observations: string[]; -} - -interface Relation { - from: string; - to: string; - relationType: string; -} - -interface KnowledgeGraph { - entities: Entity[]; - relations: Relation[]; -} - -// The KnowledgeGraphManager class contains all operations to interact with the knowledge graph -class KnowledgeGraphManager { - private async loadGraph(): Promise { - try { - const data = await fs.readFile(MEMORY_FILE_PATH, "utf-8"); - const lines = data.split("\n").filter(line => line.trim() !== ""); - return lines.reduce((graph: KnowledgeGraph, line) => { - const item = JSON.parse(line); - if (item.type === "entity") graph.entities.push(item as Entity); - if (item.type === "relation") graph.relations.push(item as Relation); - return graph; - }, { entities: [], relations: [] }); - } catch (error) { - if (error instanceof Error && 'code' in error && (error as any).code === "ENOENT") { - return { entities: [], relations: [] }; - } - throw error; - } - } - - private async saveGraph(graph: KnowledgeGraph): Promise { - const lines = [ - ...graph.entities.map(e => JSON.stringify({ type: "entity", ...e })), - ...graph.relations.map(r => JSON.stringify({ type: "relation", ...r })), - ]; - await fs.writeFile(MEMORY_FILE_PATH, lines.join("\n")); - } - - async createEntities(entities: Entity[]): Promise { - const graph = await this.loadGraph(); - const newEntities = entities.filter(e => !graph.entities.some(existingEntity => existingEntity.name === e.name)); - graph.entities.push(...newEntities); - await this.saveGraph(graph); - return newEntities; - } - - async createRelations(relations: Relation[]): Promise { - const graph = await this.loadGraph(); - const newRelations = relations.filter(r => !graph.relations.some(existingRelation => - existingRelation.from === r.from && - existingRelation.to === r.to && - existingRelation.relationType === r.relationType - )); - graph.relations.push(...newRelations); - await this.saveGraph(graph); - return newRelations; - } - - async addObservations(observations: { entityName: string; contents: string[] }[]): Promise<{ entityName: string; addedObservations: string[] }[]> { - const graph = await this.loadGraph(); - const results = observations.map(o => { - const entity = graph.entities.find(e => e.name === o.entityName); - if (!entity) { - throw new Error(`Entity with name ${o.entityName} not found`); - } - const newObservations = o.contents.filter(content => !entity.observations.includes(content)); - entity.observations.push(...newObservations); - return { entityName: o.entityName, addedObservations: newObservations }; - }); - await this.saveGraph(graph); - return results; - } - - async deleteEntities(entityNames: string[]): Promise { - const graph = await this.loadGraph(); - graph.entities = graph.entities.filter(e => !entityNames.includes(e.name)); - graph.relations = graph.relations.filter(r => !entityNames.includes(r.from) && !entityNames.includes(r.to)); - await this.saveGraph(graph); - } - - async deleteObservations(deletions: { entityName: string; observations: string[] }[]): Promise { - const graph = await this.loadGraph(); - deletions.forEach(d => { - const entity = graph.entities.find(e => e.name === d.entityName); - if (entity) { - entity.observations = entity.observations.filter(o => !d.observations.includes(o)); - } - }); - await this.saveGraph(graph); - } - - async deleteRelations(relations: Relation[]): Promise { - const graph = await this.loadGraph(); - graph.relations = graph.relations.filter(r => !relations.some(delRelation => - r.from === delRelation.from && - r.to === delRelation.to && - r.relationType === delRelation.relationType - )); - await this.saveGraph(graph); - } - - async readGraph(): Promise { - return this.loadGraph(); - } - - // Very basic search function - async searchNodes(query: string): Promise { - const graph = await this.loadGraph(); - - // Filter entities - const filteredEntities = graph.entities.filter(e => - e.name.toLowerCase().includes(query.toLowerCase()) || - e.entityType.toLowerCase().includes(query.toLowerCase()) || - e.observations.some(o => o.toLowerCase().includes(query.toLowerCase())) - ); - - // Create a Set of filtered entity names for quick lookup - const filteredEntityNames = new Set(filteredEntities.map(e => e.name)); - - // Filter relations to only include those between filtered entities - const filteredRelations = graph.relations.filter(r => - filteredEntityNames.has(r.from) && filteredEntityNames.has(r.to) - ); - - const filteredGraph: KnowledgeGraph = { - entities: filteredEntities, - relations: filteredRelations, - }; - - return filteredGraph; - } - - async openNodes(names: string[]): Promise { - const graph = await this.loadGraph(); - - // Filter entities - const filteredEntities = graph.entities.filter(e => names.includes(e.name)); - - // Create a Set of filtered entity names for quick lookup - const filteredEntityNames = new Set(filteredEntities.map(e => e.name)); - - // Filter relations to only include those between filtered entities - const filteredRelations = graph.relations.filter(r => - filteredEntityNames.has(r.from) && filteredEntityNames.has(r.to) - ); - - const filteredGraph: KnowledgeGraph = { - entities: filteredEntities, - relations: filteredRelations, - }; - - return filteredGraph; - } -} - -const knowledgeGraphManager = new KnowledgeGraphManager(); - - -// The server instance and tools exposed to Claude -const server = new Server({ - name: "memory-server", - version: "0.6.3", -}, { - capabilities: { - tools: {}, - }, - },); - -server.setRequestHandler(ListToolsRequestSchema, async () => { - return { - tools: [ - { - name: "create_entities", - description: "Create multiple new entities in the knowledge graph", - inputSchema: { - type: "object", - properties: { - entities: { - type: "array", - items: { - type: "object", - properties: { - name: { type: "string", description: "The name of the entity" }, - entityType: { type: "string", description: "The type of the entity" }, - observations: { - type: "array", - items: { type: "string" }, - description: "An array of observation contents associated with the entity" - }, - }, - required: ["name", "entityType", "observations"], - }, - }, - }, - required: ["entities"], - }, - }, - { - name: "create_relations", - description: "Create multiple new relations between entities in the knowledge graph. Relations should be in active voice", - inputSchema: { - type: "object", - properties: { - relations: { - type: "array", - items: { - type: "object", - properties: { - from: { type: "string", description: "The name of the entity where the relation starts" }, - to: { type: "string", description: "The name of the entity where the relation ends" }, - relationType: { type: "string", description: "The type of the relation" }, - }, - required: ["from", "to", "relationType"], - }, - }, - }, - required: ["relations"], - }, - }, - { - name: "add_observations", - description: "Add new observations to existing entities in the knowledge graph", - inputSchema: { - type: "object", - properties: { - observations: { - type: "array", - items: { - type: "object", - properties: { - entityName: { type: "string", description: "The name of the entity to add the observations to" }, - contents: { - type: "array", - items: { type: "string" }, - description: "An array of observation contents to add" - }, - }, - required: ["entityName", "contents"], - }, - }, - }, - required: ["observations"], - }, - }, - { - name: "delete_entities", - description: "Delete multiple entities and their associated relations from the knowledge graph", - inputSchema: { - type: "object", - properties: { - entityNames: { - type: "array", - items: { type: "string" }, - description: "An array of entity names to delete" - }, - }, - required: ["entityNames"], - }, - }, - { - name: "delete_observations", - description: "Delete specific observations from entities in the knowledge graph", - inputSchema: { - type: "object", - properties: { - deletions: { - type: "array", - items: { - type: "object", - properties: { - entityName: { type: "string", description: "The name of the entity containing the observations" }, - observations: { - type: "array", - items: { type: "string" }, - description: "An array of observations to delete" - }, - }, - required: ["entityName", "observations"], - }, - }, - }, - required: ["deletions"], - }, - }, - { - name: "delete_relations", - description: "Delete multiple relations from the knowledge graph", - inputSchema: { - type: "object", - properties: { - relations: { - type: "array", - items: { - type: "object", - properties: { - from: { type: "string", description: "The name of the entity where the relation starts" }, - to: { type: "string", description: "The name of the entity where the relation ends" }, - relationType: { type: "string", description: "The type of the relation" }, - }, - required: ["from", "to", "relationType"], - }, - description: "An array of relations to delete" - }, - }, - required: ["relations"], - }, - }, - { - name: "read_graph", - description: "Read the entire knowledge graph", - inputSchema: { - type: "object", - properties: {}, - }, - }, - { - name: "search_nodes", - description: "Search for nodes in the knowledge graph based on a query", - inputSchema: { - type: "object", - properties: { - query: { type: "string", description: "The search query to match against entity names, types, and observation content" }, - }, - required: ["query"], - }, - }, - { - name: "open_nodes", - description: "Open specific nodes in the knowledge graph by their names", - inputSchema: { - type: "object", - properties: { - names: { - type: "array", - items: { type: "string" }, - description: "An array of entity names to retrieve", - }, - }, - required: ["names"], - }, - }, - ], - }; -}); - -server.setRequestHandler(CallToolRequestSchema, async (request) => { - const { name, arguments: args } = request.params; - - if (!args) { - throw new Error(`No arguments provided for tool: ${name}`); - } - - switch (name) { - case "create_entities": - return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.createEntities(args.entities as Entity[]), null, 2) }] }; - case "create_relations": - return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.createRelations(args.relations as Relation[]), null, 2) }] }; - case "add_observations": - return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.addObservations(args.observations as { entityName: string; contents: string[] }[]), null, 2) }] }; - case "delete_entities": - await knowledgeGraphManager.deleteEntities(args.entityNames as string[]); - return { content: [{ type: "text", text: "Entities deleted successfully" }] }; - case "delete_observations": - await knowledgeGraphManager.deleteObservations(args.deletions as { entityName: string; observations: string[] }[]); - return { content: [{ type: "text", text: "Observations deleted successfully" }] }; - case "delete_relations": - await knowledgeGraphManager.deleteRelations(args.relations as Relation[]); - return { content: [{ type: "text", text: "Relations deleted successfully" }] }; - case "read_graph": - return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.readGraph(), null, 2) }] }; - case "search_nodes": - return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.searchNodes(args.query as string), null, 2) }] }; - case "open_nodes": - return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.openNodes(args.names as string[]), null, 2) }] }; - default: - throw new Error(`Unknown tool: ${name}`); - } -}); - -async function main() { - const transport = new StdioServerTransport(); - await server.connect(transport); - console.error("Knowledge Graph MCP Server running on stdio"); -} - -main().catch((error) => { - console.error("Fatal error in main():", error); - process.exit(1); -}); diff --git a/src/memory/package.json b/src/memory/package.json deleted file mode 100644 index b64cf3b..0000000 --- a/src/memory/package.json +++ /dev/null @@ -1,29 +0,0 @@ -{ - "name": "@modelcontextprotocol/server-memory", - "version": "0.6.3", - "description": "MCP server for enabling memory for Claude through a knowledge graph", - "license": "MIT", - "author": "Anthropic, PBC (https://anthropic.com)", - "homepage": "https://modelcontextprotocol.io", - "bugs": "https://github.com/modelcontextprotocol/servers/issues", - "type": "module", - "bin": { - "mcp-server-memory": "dist/index.js" - }, - "files": [ - "dist" - ], - "scripts": { - "build": "tsc && shx chmod +x dist/*.js", - "prepare": "npm run build", - "watch": "tsc --watch" - }, - "dependencies": { - "@modelcontextprotocol/sdk": "1.0.1" - }, - "devDependencies": { - "@types/node": "^22", - "shx": "^0.3.4", - "typescript": "^5.6.2" - } -} \ No newline at end of file diff --git a/src/memory/tsconfig.json b/src/memory/tsconfig.json deleted file mode 100644 index 4d33cae..0000000 --- a/src/memory/tsconfig.json +++ /dev/null @@ -1,11 +0,0 @@ -{ - "extends": "../../tsconfig.json", - "compilerOptions": { - "outDir": "./dist", - "rootDir": "." - }, - "include": [ - "./**/*.ts" - ] - } - \ No newline at end of file diff --git a/src/sequentialthinking/Dockerfile b/src/sequentialthinking/Dockerfile deleted file mode 100644 index f1a8819..0000000 --- a/src/sequentialthinking/Dockerfile +++ /dev/null @@ -1,24 +0,0 @@ -FROM node:22.12-alpine AS builder - -COPY src/sequentialthinking /app -COPY tsconfig.json /tsconfig.json - -WORKDIR /app - -RUN --mount=type=cache,target=/root/.npm npm install - -RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev - -FROM node:22-alpine AS release - -COPY --from=builder /app/dist /app/dist -COPY --from=builder /app/package.json /app/package.json -COPY --from=builder /app/package-lock.json /app/package-lock.json - -ENV NODE_ENV=production - -WORKDIR /app - -RUN npm ci --ignore-scripts --omit-dev - -ENTRYPOINT ["node", "dist/index.js"] diff --git a/src/sequentialthinking/README.md b/src/sequentialthinking/README.md deleted file mode 100644 index d7a03dc..0000000 --- a/src/sequentialthinking/README.md +++ /dev/null @@ -1,142 +0,0 @@ -# Sequential Thinking MCP Server - -An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process. - -## Features - -- Break down complex problems into manageable steps -- Revise and refine thoughts as understanding deepens -- Branch into alternative paths of reasoning -- Adjust the total number of thoughts dynamically -- Generate and verify solution hypotheses - -## Tool - -### sequential_thinking - -Facilitates a detailed, step-by-step thinking process for problem-solving and analysis. - -**Inputs:** -- `thought` (string): The current thinking step -- `nextThoughtNeeded` (boolean): Whether another thought step is needed -- `thoughtNumber` (integer): Current thought number -- `totalThoughts` (integer): Estimated total thoughts needed -- `isRevision` (boolean, optional): Whether this revises previous thinking -- `revisesThought` (integer, optional): Which thought is being reconsidered -- `branchFromThought` (integer, optional): Branching point thought number -- `branchId` (string, optional): Branch identifier -- `needsMoreThoughts` (boolean, optional): If more thoughts are needed - -## Usage - -The Sequential Thinking tool is designed for: -- Breaking down complex problems into steps -- Planning and design with room for revision -- Analysis that might need course correction -- Problems where the full scope might not be clear initially -- Tasks that need to maintain context over multiple steps -- Situations where irrelevant information needs to be filtered out - -## Configuration - -### Usage with Claude Desktop - -Add this to your `claude_desktop_config.json`: - -#### npx - -```json -{ - "mcpServers": { - "sequential-thinking": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-sequential-thinking" - ] - } - } -} -``` - -#### docker - -```json -{ - "mcpServers": { - "sequentialthinking": { - "command": "docker", - "args": [ - "run", - "--rm", - "-i", - "mcp/sequentialthinking" - ] - } - } -} -``` - -### Usage with VS Code - -For quick installation, click one of the installation buttons below... - -[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sequentialthinking&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-sequential-thinking%22%5D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sequentialthinking&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-sequential-thinking%22%5D%7D&quality=insiders) - -[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sequentialthinking&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22mcp%2Fsequentialthinking%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sequentialthinking&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22mcp%2Fsequentialthinking%22%5D%7D&quality=insiders) - -For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`. - -Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. - -> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file. - -For NPX installation: - -```json -{ - "mcp": { - "servers": { - "sequential-thinking": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-sequential-thinking" - ] - } - } - } -} -``` - -For Docker installation: - -```json -{ - "mcp": { - "servers": { - "sequential-thinking": { - "command": "docker", - "args": [ - "run", - "--rm", - "-i", - "mcp/sequentialthinking" - ] - } - } - } -} -``` - -## Building - -Docker: - -```bash -docker build -t mcp/sequentialthinking -f src/sequentialthinking/Dockerfile . -``` - -## License - -This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository. diff --git a/src/sequentialthinking/index.ts b/src/sequentialthinking/index.ts deleted file mode 100644 index c10301d..0000000 --- a/src/sequentialthinking/index.ts +++ /dev/null @@ -1,278 +0,0 @@ -#!/usr/bin/env node - -import { Server } from "@modelcontextprotocol/sdk/server/index.js"; -import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; -import { - CallToolRequestSchema, - ListToolsRequestSchema, - Tool, -} from "@modelcontextprotocol/sdk/types.js"; -// Fixed chalk import for ESM -import chalk from 'chalk'; - -interface ThoughtData { - thought: string; - thoughtNumber: number; - totalThoughts: number; - isRevision?: boolean; - revisesThought?: number; - branchFromThought?: number; - branchId?: string; - needsMoreThoughts?: boolean; - nextThoughtNeeded: boolean; -} - -class SequentialThinkingServer { - private thoughtHistory: ThoughtData[] = []; - private branches: Record = {}; - - private validateThoughtData(input: unknown): ThoughtData { - const data = input as Record; - - if (!data.thought || typeof data.thought !== 'string') { - throw new Error('Invalid thought: must be a string'); - } - if (!data.thoughtNumber || typeof data.thoughtNumber !== 'number') { - throw new Error('Invalid thoughtNumber: must be a number'); - } - if (!data.totalThoughts || typeof data.totalThoughts !== 'number') { - throw new Error('Invalid totalThoughts: must be a number'); - } - if (typeof data.nextThoughtNeeded !== 'boolean') { - throw new Error('Invalid nextThoughtNeeded: must be a boolean'); - } - - return { - thought: data.thought, - thoughtNumber: data.thoughtNumber, - totalThoughts: data.totalThoughts, - nextThoughtNeeded: data.nextThoughtNeeded, - isRevision: data.isRevision as boolean | undefined, - revisesThought: data.revisesThought as number | undefined, - branchFromThought: data.branchFromThought as number | undefined, - branchId: data.branchId as string | undefined, - needsMoreThoughts: data.needsMoreThoughts as boolean | undefined, - }; - } - - private formatThought(thoughtData: ThoughtData): string { - const { thoughtNumber, totalThoughts, thought, isRevision, revisesThought, branchFromThought, branchId } = thoughtData; - - let prefix = ''; - let context = ''; - - if (isRevision) { - prefix = chalk.yellow('🔄 Revision'); - context = ` (revising thought ${revisesThought})`; - } else if (branchFromThought) { - prefix = chalk.green('🌿 Branch'); - context = ` (from thought ${branchFromThought}, ID: ${branchId})`; - } else { - prefix = chalk.blue('💭 Thought'); - context = ''; - } - - const header = `${prefix} ${thoughtNumber}/${totalThoughts}${context}`; - const border = '─'.repeat(Math.max(header.length, thought.length) + 4); - - return ` -┌${border}┐ -│ ${header} │ -├${border}┤ -│ ${thought.padEnd(border.length - 2)} │ -└${border}┘`; - } - - public processThought(input: unknown): { content: Array<{ type: string; text: string }>; isError?: boolean } { - try { - const validatedInput = this.validateThoughtData(input); - - if (validatedInput.thoughtNumber > validatedInput.totalThoughts) { - validatedInput.totalThoughts = validatedInput.thoughtNumber; - } - - this.thoughtHistory.push(validatedInput); - - if (validatedInput.branchFromThought && validatedInput.branchId) { - if (!this.branches[validatedInput.branchId]) { - this.branches[validatedInput.branchId] = []; - } - this.branches[validatedInput.branchId].push(validatedInput); - } - - const formattedThought = this.formatThought(validatedInput); - console.error(formattedThought); - - return { - content: [{ - type: "text", - text: JSON.stringify({ - thoughtNumber: validatedInput.thoughtNumber, - totalThoughts: validatedInput.totalThoughts, - nextThoughtNeeded: validatedInput.nextThoughtNeeded, - branches: Object.keys(this.branches), - thoughtHistoryLength: this.thoughtHistory.length - }, null, 2) - }] - }; - } catch (error) { - return { - content: [{ - type: "text", - text: JSON.stringify({ - error: error instanceof Error ? error.message : String(error), - status: 'failed' - }, null, 2) - }], - isError: true - }; - } - } -} - -const SEQUENTIAL_THINKING_TOOL: Tool = { - name: "sequentialthinking", - description: `A detailed tool for dynamic and reflective problem-solving through thoughts. -This tool helps analyze problems through a flexible thinking process that can adapt and evolve. -Each thought can build on, question, or revise previous insights as understanding deepens. - -When to use this tool: -- Breaking down complex problems into steps -- Planning and design with room for revision -- Analysis that might need course correction -- Problems where the full scope might not be clear initially -- Problems that require a multi-step solution -- Tasks that need to maintain context over multiple steps -- Situations where irrelevant information needs to be filtered out - -Key features: -- You can adjust total_thoughts up or down as you progress -- You can question or revise previous thoughts -- You can add more thoughts even after reaching what seemed like the end -- You can express uncertainty and explore alternative approaches -- Not every thought needs to build linearly - you can branch or backtrack -- Generates a solution hypothesis -- Verifies the hypothesis based on the Chain of Thought steps -- Repeats the process until satisfied -- Provides a correct answer - -Parameters explained: -- thought: Your current thinking step, which can include: -* Regular analytical steps -* Revisions of previous thoughts -* Questions about previous decisions -* Realizations about needing more analysis -* Changes in approach -* Hypothesis generation -* Hypothesis verification -- next_thought_needed: True if you need more thinking, even if at what seemed like the end -- thought_number: Current number in sequence (can go beyond initial total if needed) -- total_thoughts: Current estimate of thoughts needed (can be adjusted up/down) -- is_revision: A boolean indicating if this thought revises previous thinking -- revises_thought: If is_revision is true, which thought number is being reconsidered -- branch_from_thought: If branching, which thought number is the branching point -- branch_id: Identifier for the current branch (if any) -- needs_more_thoughts: If reaching end but realizing more thoughts needed - -You should: -1. Start with an initial estimate of needed thoughts, but be ready to adjust -2. Feel free to question or revise previous thoughts -3. Don't hesitate to add more thoughts if needed, even at the "end" -4. Express uncertainty when present -5. Mark thoughts that revise previous thinking or branch into new paths -6. Ignore information that is irrelevant to the current step -7. Generate a solution hypothesis when appropriate -8. Verify the hypothesis based on the Chain of Thought steps -9. Repeat the process until satisfied with the solution -10. Provide a single, ideally correct answer as the final output -11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`, - inputSchema: { - type: "object", - properties: { - thought: { - type: "string", - description: "Your current thinking step" - }, - nextThoughtNeeded: { - type: "boolean", - description: "Whether another thought step is needed" - }, - thoughtNumber: { - type: "integer", - description: "Current thought number", - minimum: 1 - }, - totalThoughts: { - type: "integer", - description: "Estimated total thoughts needed", - minimum: 1 - }, - isRevision: { - type: "boolean", - description: "Whether this revises previous thinking" - }, - revisesThought: { - type: "integer", - description: "Which thought is being reconsidered", - minimum: 1 - }, - branchFromThought: { - type: "integer", - description: "Branching point thought number", - minimum: 1 - }, - branchId: { - type: "string", - description: "Branch identifier" - }, - needsMoreThoughts: { - type: "boolean", - description: "If more thoughts are needed" - } - }, - required: ["thought", "nextThoughtNeeded", "thoughtNumber", "totalThoughts"] - } -}; - -const server = new Server( - { - name: "sequential-thinking-server", - version: "0.2.0", - }, - { - capabilities: { - tools: {}, - }, - } -); - -const thinkingServer = new SequentialThinkingServer(); - -server.setRequestHandler(ListToolsRequestSchema, async () => ({ - tools: [SEQUENTIAL_THINKING_TOOL], -})); - -server.setRequestHandler(CallToolRequestSchema, async (request) => { - if (request.params.name === "sequentialthinking") { - return thinkingServer.processThought(request.params.arguments); - } - - return { - content: [{ - type: "text", - text: `Unknown tool: ${request.params.name}` - }], - isError: true - }; -}); - -async function runServer() { - const transport = new StdioServerTransport(); - await server.connect(transport); - console.error("Sequential Thinking MCP Server running on stdio"); -} - -runServer().catch((error) => { - console.error("Fatal error running server:", error); - process.exit(1); -}); diff --git a/src/sequentialthinking/package.json b/src/sequentialthinking/package.json deleted file mode 100644 index 89205d3..0000000 --- a/src/sequentialthinking/package.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "@modelcontextprotocol/server-sequential-thinking", - "version": "0.6.2", - "description": "MCP server for sequential thinking and problem solving", - "license": "MIT", - "author": "Anthropic, PBC (https://anthropic.com)", - "homepage": "https://modelcontextprotocol.io", - "bugs": "https://github.com/modelcontextprotocol/servers/issues", - "type": "module", - "bin": { - "mcp-server-sequential-thinking": "dist/index.js" - }, - "files": [ - "dist" - ], - "scripts": { - "build": "tsc && shx chmod +x dist/*.js", - "prepare": "npm run build", - "watch": "tsc --watch" - }, - "dependencies": { - "@modelcontextprotocol/sdk": "0.5.0", - "chalk": "^5.3.0", - "yargs": "^17.7.2" - }, - "devDependencies": { - "@types/node": "^22", - "@types/yargs": "^17.0.32", - "shx": "^0.3.4", - "typescript": "^5.3.3" - } -} \ No newline at end of file diff --git a/src/sequentialthinking/tsconfig.json b/src/sequentialthinking/tsconfig.json deleted file mode 100644 index 2ce5843..0000000 --- a/src/sequentialthinking/tsconfig.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "extends": "../../tsconfig.json", - "compilerOptions": { - "outDir": "./dist", - "rootDir": ".", - "moduleResolution": "NodeNext", - "module": "NodeNext" - }, - "include": ["./**/*.ts"] -} diff --git a/src/time/.python-version b/src/time/.python-version deleted file mode 100644 index c8cfe39..0000000 --- a/src/time/.python-version +++ /dev/null @@ -1 +0,0 @@ -3.10 diff --git a/src/time/Dockerfile b/src/time/Dockerfile deleted file mode 100644 index bd62ea8..0000000 --- a/src/time/Dockerfile +++ /dev/null @@ -1,36 +0,0 @@ -# Use a Python image with uv pre-installed -FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv - -# Install the project into `/app` -WORKDIR /app - -# Enable bytecode compilation -ENV UV_COMPILE_BYTECODE=1 - -# Copy from the cache instead of linking since it's a mounted volume -ENV UV_LINK_MODE=copy - -# Install the project's dependencies using the lockfile and settings -RUN --mount=type=cache,target=/root/.cache/uv \ - --mount=type=bind,source=uv.lock,target=uv.lock \ - --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ - uv sync --frozen --no-install-project --no-dev --no-editable - -# Then, add the rest of the project source code and install it -# Installing separately from its dependencies allows optimal layer caching -ADD . /app -RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --frozen --no-dev --no-editable - -FROM python:3.12-slim-bookworm - -WORKDIR /app - -COPY --from=uv /root/.local /root/.local -COPY --from=uv --chown=app:app /app/.venv /app/.venv - -# Place executables in the environment at the front of the path -ENV PATH="/app/.venv/bin:$PATH" - -# when running the container, add --db-path and a bind mount to the host's db file -ENTRYPOINT ["mcp-server-time"] diff --git a/src/time/README.md b/src/time/README.md deleted file mode 100644 index dd47eb7..0000000 --- a/src/time/README.md +++ /dev/null @@ -1,269 +0,0 @@ -# Time MCP Server - -A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection. - -### Available Tools - -- `get_current_time` - Get current time in a specific timezone or system timezone. - - Required arguments: - - `timezone` (string): IANA timezone name (e.g., 'America/New_York', 'Europe/London') - -- `convert_time` - Convert time between timezones. - - Required arguments: - - `source_timezone` (string): Source IANA timezone name - - `time` (string): Time in 24-hour format (HH:MM) - - `target_timezone` (string): Target IANA timezone name - -## Installation - -### Using uv (recommended) - -When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will -use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-server-time*. - -### Using PIP - -Alternatively you can install `mcp-server-time` via pip: - -```bash -pip install mcp-server-time -``` - -After installation, you can run it as a script using: - -```bash -python -m mcp_server_time -``` - -## Configuration - -### Configure for Claude.app - -Add to your Claude settings: - -
-Using uvx - -```json -{ - "mcpServers": { - "time": { - "command": "uvx", - "args": ["mcp-server-time"] - } - } -} -``` -
- -
-Using docker - -```json -{ - "mcpServers": { - "time": { - "command": "docker", - "args": ["run", "-i", "--rm", "mcp/time"] - } - } -} -``` -
- -
-Using pip installation - -```json -{ - "mcpServers": { - "time": { - "command": "python", - "args": ["-m", "mcp_server_time"] - } - } -} -``` -
- -### Configure for Zed - -Add to your Zed settings.json: - -
-Using uvx - -```json -"context_servers": [ - "mcp-server-time": { - "command": "uvx", - "args": ["mcp-server-time"] - } -], -``` -
- -
-Using pip installation - -```json -"context_servers": { - "mcp-server-time": { - "command": "python", - "args": ["-m", "mcp_server_time"] - } -}, -``` -
- -### Configure for VS Code - -For quick installation, use one of the one-click install buttons below... - -[![Install with UV in VS Code](https://img.shields.io/badge/VS_Code-UV-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=time&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-time%22%5D%7D) [![Install with UV in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-UV-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=time&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-time%22%5D%7D&quality=insiders) - -[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=time&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Ftime%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=time&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Ftime%22%5D%7D&quality=insiders) - -For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`. - -Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. - -> Note that the `mcp` key is needed when using the `mcp.json` file. - -
-Using uvx - -```json -{ - "mcp": { - "servers": { - "time": { - "command": "uvx", - "args": ["mcp-server-time"] - } - } - } -} -``` -
- -
-Using Docker - -```json -{ - "mcp": { - "servers": { - "time": { - "command": "docker", - "args": ["run", "-i", "--rm", "mcp/time"] - } - } - } -} -``` -
- -### Customization - System Timezone - -By default, the server automatically detects your system's timezone. You can override this by adding the argument `--local-timezone` to the `args` list in the configuration. - -Example: -```json -{ - "command": "python", - "args": ["-m", "mcp_server_time", "--local-timezone=America/New_York"] -} -``` - -## Example Interactions - -1. Get current time: -```json -{ - "name": "get_current_time", - "arguments": { - "timezone": "Europe/Warsaw" - } -} -``` -Response: -```json -{ - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T13:00:00+01:00", - "is_dst": false -} -``` - -2. Convert time between timezones: -```json -{ - "name": "convert_time", - "arguments": { - "source_timezone": "America/New_York", - "time": "16:30", - "target_timezone": "Asia/Tokyo" - } -} -``` -Response: -```json -{ - "source": { - "timezone": "America/New_York", - "datetime": "2024-01-01T12:30:00-05:00", - "is_dst": false - }, - "target": { - "timezone": "Asia/Tokyo", - "datetime": "2024-01-01T12:30:00+09:00", - "is_dst": false - }, - "time_difference": "+13.0h", -} -``` - -## Debugging - -You can use the MCP inspector to debug the server. For uvx installations: - -```bash -npx @modelcontextprotocol/inspector uvx mcp-server-time -``` - -Or if you've installed the package in a specific directory or are developing on it: - -```bash -cd path/to/servers/src/time -npx @modelcontextprotocol/inspector uv run mcp-server-time -``` - -## Examples of Questions for Claude - -1. "What time is it now?" (will use system timezone) -2. "What time is it in Tokyo?" -3. "When it's 4 PM in New York, what time is it in London?" -4. "Convert 9:30 AM Tokyo time to New York time" - -## Build - -Docker build: - -```bash -cd src/time -docker build -t mcp/time . -``` - -## Contributing - -We encourage contributions to help expand and improve mcp-server-time. Whether you want to add new time-related tools, enhance existing functionality, or improve documentation, your input is valuable. - -For examples of other MCP servers and implementation patterns, see: -https://github.com/modelcontextprotocol/servers - -Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements to make mcp-server-time even more powerful and useful. - -## License - -mcp-server-time is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository. diff --git a/src/time/pyproject.toml b/src/time/pyproject.toml deleted file mode 100644 index 7092495..0000000 --- a/src/time/pyproject.toml +++ /dev/null @@ -1,38 +0,0 @@ -[project] -name = "mcp-server-time" -version = "0.6.2" -description = "A Model Context Protocol server providing tools for time queries and timezone conversions for LLMs" -readme = "README.md" -requires-python = ">=3.10" -authors = [ - { name = "Mariusz 'maledorak' Korzekwa", email = "mariusz@korzekwa.dev" }, -] -keywords = ["time", "timezone", "mcp", "llm"] -license = { text = "MIT" } -classifiers = [ - "Development Status :: 4 - Beta", - "Intended Audience :: Developers", - "License :: OSI Approved :: MIT License", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", -] -dependencies = [ - "mcp>=1.0.0", - "pydantic>=2.0.0", - "tzdata>=2024.2", -] - -[project.scripts] -mcp-server-time = "mcp_server_time:main" - -[build-system] -requires = ["hatchling"] -build-backend = "hatchling.build" - -[tool.uv] -dev-dependencies = [ - "freezegun>=1.5.1", - "pyright>=1.1.389", - "pytest>=8.3.3", - "ruff>=0.8.1", -] diff --git a/src/time/src/mcp_server_time/__init__.py b/src/time/src/mcp_server_time/__init__.py deleted file mode 100644 index cce7ccc..0000000 --- a/src/time/src/mcp_server_time/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -from .server import serve - - -def main(): - """MCP Time Server - Time and timezone conversion functionality for MCP""" - import argparse - import asyncio - - parser = argparse.ArgumentParser( - description="give a model the ability to handle time queries and timezone conversions" - ) - parser.add_argument("--local-timezone", type=str, help="Override local timezone") - - args = parser.parse_args() - asyncio.run(serve(args.local_timezone)) - - -if __name__ == "__main__": - main() diff --git a/src/time/src/mcp_server_time/__main__.py b/src/time/src/mcp_server_time/__main__.py deleted file mode 100644 index 27adff2..0000000 --- a/src/time/src/mcp_server_time/__main__.py +++ /dev/null @@ -1,3 +0,0 @@ -from mcp_server_time import main - -main() diff --git a/src/time/src/mcp_server_time/server.py b/src/time/src/mcp_server_time/server.py deleted file mode 100644 index 67c9024..0000000 --- a/src/time/src/mcp_server_time/server.py +++ /dev/null @@ -1,201 +0,0 @@ -from datetime import datetime, timedelta -from enum import Enum -import json -from typing import Sequence - -from zoneinfo import ZoneInfo -from mcp.server import Server -from mcp.server.stdio import stdio_server -from mcp.types import Tool, TextContent, ImageContent, EmbeddedResource -from mcp.shared.exceptions import McpError - -from pydantic import BaseModel - - -class TimeTools(str, Enum): - GET_CURRENT_TIME = "get_current_time" - CONVERT_TIME = "convert_time" - - -class TimeResult(BaseModel): - timezone: str - datetime: str - is_dst: bool - - -class TimeConversionResult(BaseModel): - source: TimeResult - target: TimeResult - time_difference: str - - -class TimeConversionInput(BaseModel): - source_tz: str - time: str - target_tz_list: list[str] - - -def get_local_tz(local_tz_override: str | None = None) -> ZoneInfo: - if local_tz_override: - return ZoneInfo(local_tz_override) - - # Get local timezone from datetime.now() - tzinfo = datetime.now().astimezone(tz=None).tzinfo - if tzinfo is not None: - return ZoneInfo(str(tzinfo)) - raise McpError("Could not determine local timezone - tzinfo is None") - - -def get_zoneinfo(timezone_name: str) -> ZoneInfo: - try: - return ZoneInfo(timezone_name) - except Exception as e: - raise McpError(f"Invalid timezone: {str(e)}") - - -class TimeServer: - def get_current_time(self, timezone_name: str) -> TimeResult: - """Get current time in specified timezone""" - timezone = get_zoneinfo(timezone_name) - current_time = datetime.now(timezone) - - return TimeResult( - timezone=timezone_name, - datetime=current_time.isoformat(timespec="seconds"), - is_dst=bool(current_time.dst()), - ) - - def convert_time( - self, source_tz: str, time_str: str, target_tz: str - ) -> TimeConversionResult: - """Convert time between timezones""" - source_timezone = get_zoneinfo(source_tz) - target_timezone = get_zoneinfo(target_tz) - - try: - parsed_time = datetime.strptime(time_str, "%H:%M").time() - except ValueError: - raise ValueError("Invalid time format. Expected HH:MM [24-hour format]") - - now = datetime.now(source_timezone) - source_time = datetime( - now.year, - now.month, - now.day, - parsed_time.hour, - parsed_time.minute, - tzinfo=source_timezone, - ) - - target_time = source_time.astimezone(target_timezone) - source_offset = source_time.utcoffset() or timedelta() - target_offset = target_time.utcoffset() or timedelta() - hours_difference = (target_offset - source_offset).total_seconds() / 3600 - - if hours_difference.is_integer(): - time_diff_str = f"{hours_difference:+.1f}h" - else: - # For fractional hours like Nepal's UTC+5:45 - time_diff_str = f"{hours_difference:+.2f}".rstrip("0").rstrip(".") + "h" - - return TimeConversionResult( - source=TimeResult( - timezone=source_tz, - datetime=source_time.isoformat(timespec="seconds"), - is_dst=bool(source_time.dst()), - ), - target=TimeResult( - timezone=target_tz, - datetime=target_time.isoformat(timespec="seconds"), - is_dst=bool(target_time.dst()), - ), - time_difference=time_diff_str, - ) - - -async def serve(local_timezone: str | None = None) -> None: - server = Server("mcp-time") - time_server = TimeServer() - local_tz = str(get_local_tz(local_timezone)) - - @server.list_tools() - async def list_tools() -> list[Tool]: - """List available time tools.""" - return [ - Tool( - name=TimeTools.GET_CURRENT_TIME.value, - description="Get current time in a specific timezones", - inputSchema={ - "type": "object", - "properties": { - "timezone": { - "type": "string", - "description": f"IANA timezone name (e.g., 'America/New_York', 'Europe/London'). Use '{local_tz}' as local timezone if no timezone provided by the user.", - } - }, - "required": ["timezone"], - }, - ), - Tool( - name=TimeTools.CONVERT_TIME.value, - description="Convert time between timezones", - inputSchema={ - "type": "object", - "properties": { - "source_timezone": { - "type": "string", - "description": f"Source IANA timezone name (e.g., 'America/New_York', 'Europe/London'). Use '{local_tz}' as local timezone if no source timezone provided by the user.", - }, - "time": { - "type": "string", - "description": "Time to convert in 24-hour format (HH:MM)", - }, - "target_timezone": { - "type": "string", - "description": f"Target IANA timezone name (e.g., 'Asia/Tokyo', 'America/San_Francisco'). Use '{local_tz}' as local timezone if no target timezone provided by the user.", - }, - }, - "required": ["source_timezone", "time", "target_timezone"], - }, - ), - ] - - @server.call_tool() - async def call_tool( - name: str, arguments: dict - ) -> Sequence[TextContent | ImageContent | EmbeddedResource]: - """Handle tool calls for time queries.""" - try: - match name: - case TimeTools.GET_CURRENT_TIME.value: - timezone = arguments.get("timezone") - if not timezone: - raise ValueError("Missing required argument: timezone") - - result = time_server.get_current_time(timezone) - - case TimeTools.CONVERT_TIME.value: - if not all( - k in arguments - for k in ["source_timezone", "time", "target_timezone"] - ): - raise ValueError("Missing required arguments") - - result = time_server.convert_time( - arguments["source_timezone"], - arguments["time"], - arguments["target_timezone"], - ) - case _: - raise ValueError(f"Unknown tool: {name}") - - return [ - TextContent(type="text", text=json.dumps(result.model_dump(), indent=2)) - ] - - except Exception as e: - raise ValueError(f"Error processing mcp-server-time query: {str(e)}") - - options = server.create_initialization_options() - async with stdio_server() as (read_stream, write_stream): - await server.run(read_stream, write_stream, options) diff --git a/src/time/test/time_server_test.py b/src/time/test/time_server_test.py deleted file mode 100644 index 8129fb5..0000000 --- a/src/time/test/time_server_test.py +++ /dev/null @@ -1,460 +0,0 @@ - -from freezegun import freeze_time -from mcp.shared.exceptions import McpError -import pytest - -from mcp_server_time.server import TimeServer - - -@pytest.mark.parametrize( - "test_time,timezone,expected", - [ - # UTC+1 non-DST - ( - "2024-01-01 12:00:00+00:00", - "Europe/Warsaw", - { - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T13:00:00+01:00", - "is_dst": False, - }, - ), - # UTC non-DST - ( - "2024-01-01 12:00:00+00:00", - "Europe/London", - { - "timezone": "Europe/London", - "datetime": "2024-01-01T12:00:00+00:00", - "is_dst": False, - }, - ), - # UTC-5 non-DST - ( - "2024-01-01 12:00:00-00:00", - "America/New_York", - { - "timezone": "America/New_York", - "datetime": "2024-01-01T07:00:00-05:00", - "is_dst": False, - }, - ), - # UTC+1 DST - ( - "2024-03-31 12:00:00+00:00", - "Europe/Warsaw", - { - "timezone": "Europe/Warsaw", - "datetime": "2024-03-31T14:00:00+02:00", - "is_dst": True, - }, - ), - # UTC DST - ( - "2024-03-31 12:00:00+00:00", - "Europe/London", - { - "timezone": "Europe/London", - "datetime": "2024-03-31T13:00:00+01:00", - "is_dst": True, - }, - ), - # UTC-5 DST - ( - "2024-03-31 12:00:00-00:00", - "America/New_York", - { - "timezone": "America/New_York", - "datetime": "2024-03-31T08:00:00-04:00", - "is_dst": True, - }, - ), - ], -) -def test_get_current_time(test_time, timezone, expected): - with freeze_time(test_time): - time_server = TimeServer() - result = time_server.get_current_time(timezone) - assert result.timezone == expected["timezone"] - assert result.datetime == expected["datetime"] - assert result.is_dst == expected["is_dst"] - - -def test_get_current_time_with_invalid_timezone(): - time_server = TimeServer() - with pytest.raises( - McpError, - match=r"Invalid timezone: 'No time zone found with key Invalid/Timezone'", - ): - time_server.get_current_time("Invalid/Timezone") - - -@pytest.mark.parametrize( - "source_tz,time_str,target_tz,expected_error", - [ - ( - "invalid_tz", - "12:00", - "Europe/London", - "Invalid timezone: 'No time zone found with key invalid_tz'", - ), - ( - "Europe/Warsaw", - "12:00", - "invalid_tz", - "Invalid timezone: 'No time zone found with key invalid_tz'", - ), - ( - "Europe/Warsaw", - "25:00", - "Europe/London", - "Invalid time format. Expected HH:MM [24-hour format]", - ), - ], -) -def test_convert_time_errors(source_tz, time_str, target_tz, expected_error): - time_server = TimeServer() - with pytest.raises((McpError, ValueError), match=expected_error): - time_server.convert_time(source_tz, time_str, target_tz) - - -@pytest.mark.parametrize( - "test_time,source_tz,time_str,target_tz,expected", - [ - # Basic case: Standard time conversion between Warsaw and London (1 hour difference) - # Warsaw is UTC+1, London is UTC+0 - ( - "2024-01-01 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "Europe/London", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T12:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "Europe/London", - "datetime": "2024-01-01T11:00:00+00:00", - "is_dst": False, - }, - "time_difference": "-1.0h", - }, - ), - # Reverse case of above: London to Warsaw conversion - # Shows how time difference is positive when going east - ( - "2024-01-01 00:00:00+00:00", - "Europe/London", - "12:00", - "Europe/Warsaw", - { - "source": { - "timezone": "Europe/London", - "datetime": "2024-01-01T12:00:00+00:00", - "is_dst": False, - }, - "target": { - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T13:00:00+01:00", - "is_dst": False, - }, - "time_difference": "+1.0h", - }, - ), - # Edge case: Different DST periods between Europe and USA - # Europe ends DST on Oct 27, while USA waits until Nov 3 - # This creates a one-week period where Europe is in standard time but USA still observes DST - ( - "2024-10-28 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "America/New_York", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-10-28T12:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "America/New_York", - "datetime": "2024-10-28T07:00:00-04:00", - "is_dst": True, - }, - "time_difference": "-5.0h", - }, - ), - # Follow-up to previous case: After both regions end DST - # Shows how time difference increases by 1 hour when USA also ends DST - ( - "2024-11-04 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "America/New_York", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-11-04T12:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "America/New_York", - "datetime": "2024-11-04T06:00:00-05:00", - "is_dst": False, - }, - "time_difference": "-6.0h", - }, - ), - # Edge case: Nepal's unusual UTC+5:45 offset - # One of the few time zones using 45-minute offset - ( - "2024-01-01 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "Asia/Kathmandu", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T12:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "Asia/Kathmandu", - "datetime": "2024-01-01T16:45:00+05:45", - "is_dst": False, - }, - "time_difference": "+4.75h", - }, - ), - # Reverse case for Nepal - # Demonstrates how 45-minute offset works in opposite direction - ( - "2024-01-01 00:00:00+00:00", - "Asia/Kathmandu", - "12:00", - "Europe/Warsaw", - { - "source": { - "timezone": "Asia/Kathmandu", - "datetime": "2024-01-01T12:00:00+05:45", - "is_dst": False, - }, - "target": { - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T07:15:00+01:00", - "is_dst": False, - }, - "time_difference": "-4.75h", - }, - ), - # Edge case: Lord Howe Island's unique DST rules - # One of the few places using 30-minute DST shift - # During summer (DST), they use UTC+11 - ( - "2024-01-01 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "Australia/Lord_Howe", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T12:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "Australia/Lord_Howe", - "datetime": "2024-01-01T22:00:00+11:00", - "is_dst": True, - }, - "time_difference": "+10.0h", - }, - ), - # Second Lord Howe Island case: During their standard time - # Shows transition to UTC+10:30 after DST ends - ( - "2024-04-07 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "Australia/Lord_Howe", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-04-07T12:00:00+02:00", - "is_dst": True, - }, - "target": { - "timezone": "Australia/Lord_Howe", - "datetime": "2024-04-07T20:30:00+10:30", - "is_dst": False, - }, - "time_difference": "+8.5h", - }, - ), - # Edge case: Date line crossing with Samoa - # Demonstrates how a single time conversion can result in a date change - # Samoa is UTC+13, creating almost a full day difference with Warsaw - ( - "2024-01-01 00:00:00+00:00", - "Europe/Warsaw", - "23:00", - "Pacific/Apia", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-01-01T23:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "Pacific/Apia", - "datetime": "2024-01-02T11:00:00+13:00", - "is_dst": False, - }, - "time_difference": "+12.0h", - }, - ), - # Edge case: Iran's unusual half-hour offset - # Demonstrates conversion with Iran's UTC+3:30 timezone - ( - "2024-03-21 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "Asia/Tehran", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-03-21T12:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "Asia/Tehran", - "datetime": "2024-03-21T14:30:00+03:30", - "is_dst": False, - }, - "time_difference": "+2.5h", - }, - ), - # Edge case: Venezuela's unusual -4:30 offset (historical) - # In 2016, Venezuela moved from -4:30 to -4:00 - # Useful for testing historical dates - ( - "2016-04-30 00:00:00+00:00", # Just before the change - "Europe/Warsaw", - "12:00", - "America/Caracas", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2016-04-30T12:00:00+02:00", - "is_dst": True, - }, - "target": { - "timezone": "America/Caracas", - "datetime": "2016-04-30T05:30:00-04:30", - "is_dst": False, - }, - "time_difference": "-6.5h", - }, - ), - # Edge case: Israel's variable DST - # Israel's DST changes don't follow a fixed pattern - # They often change dates year-to-year based on Hebrew calendar - ( - "2024-10-27 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "Asia/Jerusalem", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-10-27T12:00:00+01:00", - "is_dst": False, - }, - "target": { - "timezone": "Asia/Jerusalem", - "datetime": "2024-10-27T13:00:00+02:00", - "is_dst": False, - }, - "time_difference": "+1.0h", - }, - ), - # Edge case: Antarctica/Troll station - # Only timezone that uses UTC+0 in winter and UTC+2 in summer - # One of the few zones with exactly 2 hours DST difference - ( - "2024-03-31 00:00:00+00:00", - "Europe/Warsaw", - "12:00", - "Antarctica/Troll", - { - "source": { - "timezone": "Europe/Warsaw", - "datetime": "2024-03-31T12:00:00+02:00", - "is_dst": True, - }, - "target": { - "timezone": "Antarctica/Troll", - "datetime": "2024-03-31T12:00:00+02:00", - "is_dst": True, - }, - "time_difference": "+0.0h", - }, - ), - # Edge case: Kiribati date line anomaly - # After skipping Dec 31, 1994, eastern Kiribati is UTC+14 - # The furthest forward timezone in the world - ( - "2024-01-01 00:00:00+00:00", - "Europe/Warsaw", - "23:00", - "Pacific/Kiritimati", - 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