Merge branch 'main' into add-video-jungle-editor

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@ -34,7 +34,7 @@ jobs:
- uses: actions/setup-node@v4
with:
node-version: 18
node-version: 22
cache: npm
- name: Install dependencies
@ -64,7 +64,7 @@ jobs:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 18
node-version: 22
cache: npm
registry-url: "https://registry.npmjs.org"

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@ -10,6 +10,8 @@ The repository contains reference implementations, as well as a list of communit
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

139
README.md
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@ -6,6 +6,8 @@ to community built servers and additional resources.
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).
> Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
## 🌟 Reference Servers
These servers aim to demonstrate MCP features and the Typescript and Python SDK.
@ -39,17 +41,20 @@ Official integrations are maintained by companies building production ready MCP
- <img height="12" width="12" src="https://axiom.co/favicon.ico" alt="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
- <img height="12" width="12" src="https://browserbase.com/favicon.ico" alt="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)
- <img height="12" width="12" src="https://cdn.simpleicons.org/cloudflare" /> **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
- **[Obsidian Markdown Notes](https://github.com/calclavia/mcp-obsidian)** - Read and search through your Obsidian vault or any directory containing Markdown notes
- <img height="12" width="12" src="https://e2b.dev/favicon.ico" alt="E2B Logo" /> **[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev)
- <img height="12" width="12" src="https://exa.ai/images/favicon-32x32.png" alt="Exa Logo" /> **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
- <img height="12" width="12" src="https://fireproof.storage/favicon.ico" alt="Fireproof Logo" /> **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization
- <img height="12" width="12" src="https://cdn.simpleicons.org/jetbrains" /> **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
- **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
- <img height="12" width="12" src="https://neo4j.com/favicon.ico" alt="Neo4j Logo" /> **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
- <img height="12" width="12" src="https://www.tinybird.co/favicon.ico" alt="Tinybird Logo" /> **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
- <img height="12" width="12" src="https://pics.fatwang2.com/56912e614b35093426c515860f9f2234.svg" /> [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps
- <img height="12" width="12" src="https://qdrant.tech/img/brand-resources-logos/logomark.svg" /> **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
- <img height="12" width="12" src="https://kagi.com/favicon.ico" alt="Kagi Logo" /> **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
- <img height="12" width="12" src="https://www.meilisearch.com/favicon.ico" alt="Meilisearch Logo" /> **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
- <img height="12" width="12" src="https://metoro.io/static/images/logos/Metoro.svg" /> **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
- <img height="12" width="12" src="https://www.motherduck.com/favicon.ico" alt="MotherDuck Logo" /> **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB
- <img height="12" width="12" src="https://neo4j.com/favicon.ico" alt="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](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
- <img height="12" width="12" src="https://qdrant.tech/img/brand-resources-logos/logomark.svg" /> **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
- <img height="12" width="12" src="https://pics.fatwang2.com/56912e614b35093426c515860f9f2234.svg" /> [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps
- <img height="12" width="12" src="https://www.tinybird.co/favicon.ico" alt="Tinybird Logo" /> **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
### 🌎 Community Servers
@ -57,65 +62,101 @@ A growing set of community-developed and maintained servers demonstrates various
> **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.
- **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you.
- **[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.
- **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify.
- **[Inoyu](https://github.com/sergehuber/inoyu-mcp-unomi-server)** - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles
- **[Vega-Lite](https://github.com/isaacwasserman/mcp-vegalite-server)** - Generate visualizations from fetched data using the VegaLite format and renderer.
- **[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.
- **[MySQL](https://github.com/designcomputer/mysql_mcp_server)** (by DesignComputer) - MySQL database integration in Python with configurable access controls and schema inspection
- **[MySQL](https://github.com/benborla/mcp-server-mysql)** (by benborla) - MySQL database integration in NodeJS with configurable access controls and schema inspection
- **[MSSQL](https://github.com/aekanun2020/mcp-server/)** - MSSQL database integration with configurable access controls and schema inspection
- **[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
- **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM
- **[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)
- **[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.
- **[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.
- **[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
- **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Interact with Todoist to manage your tasks.
- **[Tavily search](https://github.com/RamXX/mcp-tavily)** - An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions
- **[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.
- **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright
- **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM
- **[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/)
- **[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.
- **[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.
- **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)** - Interact with and discover JSON-RPC APIs via [OpenRPC](https://open-rpc.org).
- **[FireCrawl](https://github.com/vrknetha/mcp-server-firecrawl)** - Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting
- **[AlphaVantage](https://github.com/calvernaz/alphavantage)** - MCP server for stock market data API [AlphaVantage](https://www.alphavantage.co)
- **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks.
- **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services.
- **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)** - Interact with [OpenAPI](https://www.openapis.org/) APIs.
- **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, and plain text, with other formats like PDF, csv and docx in development.
- **[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.
- **[ChatSum](https://github.com/chatmcp/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so)
- **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)** - A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
- **[X (Twitter)](https://github.com/vidhupv/x-mcp)** (by vidhupv) - Create, manage and publish X/Twitter posts directly through Claude chat.
- **[X (Twitter)](https://github.com/EnesCinr/twitter-mcp)** (by EnesCinr) - Interact with twitter API. Post tweets and search for tweets by query.
- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown.
- **[XMind](https://github.com/apeyroux/mcp-xmind)** - Read and search through your XMind directory containing XMind files.
- **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)** - C++ MCP integration for Oat++. Use [Oat++](https://oatpp.io) to build MCP servers.
- **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so)
- **[Chroma](https://github.com/privetin/chroma)** - Vector database server for semantic document search and metadata filtering, built on Chroma
- **[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.
- **[cognee-mcp](https://github.com/topoteretes/cognee-mcp-server)** - GraphRAG memory server with customizable ingestion, data processing and search
- **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection.
- **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)** - Provides access to [coinmarketcap](https://coinmarketcap.com/) cryptocurrency data.
- **[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.
- **[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!
- **[DevRev](https://github.com/kpsunil97/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).
- **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks.
- **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)** - MCP server implementation that provides Elasticsearch interaction.
- **[Fetch](https://github.com/zcaceres/fetch-mcp)** - A server that flexibly fetches HTML, JSON, Markdown, or plaintext.
- **[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.
- **[Glean](https://github.com/longyi1207/glean-mcp-server)** - A server that uses Glean API to search and chat.
- **[Google Calendar](https://github.com/v-3/google-calendar)** - Integration with Google Calendar to check schedules, find time, and add/delete events
- **[Google Tasks](https://github.com/zcaceres/gtasks-mcp)** - Google Tasks API Model Context Protocol Server.
- **[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.
- **[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.
- **[Inoyu](https://github.com/sergehuber/inoyu-mcp-unomi-server)** - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles
- **[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.
- **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services.
- **[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.
- **[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/)
- **[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.
- **[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.
- **[MSSQL](https://github.com/aekanun2020/mcp-server/)** - MSSQL database integration with configurable access controls and schema inspection
- **[Markdownify](https://github.com/zcaceres/mcp-markdownify-server)** - MCP to convert almost anything to Markdown (PPTX, HTML, PDF, Youtube Transcripts and more)
- **[Minima](https://github.com/dmayboroda/minima)** - MCP server for RAG on local files
- **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB.
- **[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
- **[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.
- **[Needle](https://github.com/JANHMS/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
- **[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.
- **[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
- **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)** - Interact with [OpenAPI](https://www.openapis.org/) APIs.
- **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)** - Interact with and discover JSON-RPC APIs via [OpenRPC](https://open-rpc.org).
- **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, and plain text, with other formats like PDF, csv and docx in development.
- **[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.
- **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright
- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown.
- **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
- **[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.
- **[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.
- **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify.
- **[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
- **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Interact with Todoist to manage your tasks.
- **[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/).
- **[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.
- **[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.
- **[XMind](https://github.com/apeyroux/mcp-xmind)** - Read and search through your XMind directory containing XMind files.
- **[Video Editor](https://github.com/burningion/video-editing-mcp)** - A Model Context Protocol Server to add, edit, and search videos directly from your favorite LLM with [Video Jungle](https://www.video-jungle.com/).
## 📚 Frameworks
These are high-level frameworks that make it easier to build MCP servers.
* [EasyMCP](https://github.com/zcaceres/easy-mcp/) (TypeScript)
* [FastMCP](https://github.com/punkpeye/fastmcp) (TypeScript)
## 📚 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 MCP Servers by appcypher](https://github.com/appcypher/awesome-mcp-servers)** - A curated list of MCP servers by **[Stephen Akinyemi](https://github.com/appcypher)**
- **[Open-Sourced MCP Servers Directory](https://github.com/chatmcp/mcp-directory)** - A curated list of MCP servers by **[mcpso](https://mcp.so)**
- **[Discord Server](https://glama.ai/mcp/discord)** – A community discord server dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
- **[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)**
- **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)**
- **[mcp-cli](https://github.com/wong2/mcp-cli)** - A CLI inspector for the Model Context Protocol by **[wong2](https://github.com/wong2)**
- **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
- **[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 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-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)**
- **[Open-Sourced MCP Servers Directory](https://github.com/chatmcp/mcp-directory)** - A curated list of MCP servers by **[mcpso](https://mcp.so)**
- **[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)**
- **[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)**
## 🚀 Getting Started

118
package-lock.json generated
View file

@ -1573,11 +1573,12 @@
"license": "MIT"
},
"node_modules/@types/node": {
"version": "22.9.0",
"resolved": "https://registry.npmjs.org/@types/node/-/node-22.9.0.tgz",
"integrity": "sha512-vuyHg81vvWA1Z1ELfvLko2c8f34gyA0zaic0+Rllc5lbCnbSyuvb2Oxpm6TAUAC/2xZN3QGqxBNggD1nNR2AfQ==",
"version": "22.10.2",
"resolved": "https://registry.npmjs.org/@types/node/-/node-22.10.2.tgz",
"integrity": "sha512-Xxr6BBRCAOQixvonOye19wnzyDiUtTeqldOOmj3CkeblonbccA12PFwlufvRdrpjXxqnmUaeiU5EOA+7s5diUQ==",
"license": "MIT",
"dependencies": {
"undici-types": "~6.19.8"
"undici-types": "~6.20.0"
}
},
"node_modules/@types/node-fetch": {
@ -4774,9 +4775,10 @@
}
},
"node_modules/undici-types": {
"version": "6.19.8",
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.19.8.tgz",
"integrity": "sha512-ve2KP6f/JnbPBFyobGHuerC9g1FYGn/F8n1LWTwNxCEzd6IfqTwUQcNXgEtmmQ6DlRrC1hrSrBnCZPokRrDHjw=="
"version": "6.20.0",
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.20.0.tgz",
"integrity": "sha512-Ny6QZ2Nju20vw1SRHe3d9jVu6gJ+4e3+MMpqu7pqE5HT6WsTSlce++GQmK5UXS8mzV8DSYHrQH+Xrf2jVcuKNg==",
"license": "MIT"
},
"node_modules/universalify": {
"version": "2.0.1",
@ -5015,20 +5017,11 @@
"mcp-server-aws-kb-retrieval": "dist/index.js"
},
"devDependencies": {
"@types/node": "^20.10.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
},
"src/aws-kb-retrieval-server/node_modules/@types/node": {
"version": "20.17.9",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.17.9.tgz",
"integrity": "sha512-0JOXkRyLanfGPE2QRCwgxhzlBAvaRdCNMcvbd7jFfpmD4eEXll7LRwy5ymJmyeZqk7Nh7eD2LeUyQ68BbndmXw==",
"dev": true,
"dependencies": {
"undici-types": "~6.19.2"
}
},
"src/brave-search": {
"name": "@modelcontextprotocol/server-brave-search",
"version": "0.6.2",
@ -5040,7 +5033,7 @@
"mcp-server-brave-search": "dist/index.js"
},
"devDependencies": {
"@types/node": "^20.10.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
@ -5055,16 +5048,6 @@
"zod": "^3.23.8"
}
},
"src/brave-search/node_modules/@types/node": {
"version": "20.17.6",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.17.6.tgz",
"integrity": "sha512-VEI7OdvK2wP7XHnsuXbAJnEpEkF6NjSN45QJlL4VGqZSXsnicpesdTWsg9RISeSdYd3yeRj/y3k5KGjUXYnFwQ==",
"dev": true,
"license": "MIT",
"dependencies": {
"undici-types": "~6.19.2"
}
},
"src/duckduckgo": {
"name": "@modelcontextprotocol/server-duckduckgo",
"version": "0.2.0",
@ -5080,7 +5063,7 @@
},
"devDependencies": {
"@types/jsdom": "^21.1.6",
"@types/node": "^20.10.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
@ -5099,20 +5082,11 @@
"mcp-server-everart": "dist/index.js"
},
"devDependencies": {
"@types/node": "^20.11.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
},
"src/everart/node_modules/@types/node": {
"version": "20.17.9",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.17.9.tgz",
"integrity": "sha512-0JOXkRyLanfGPE2QRCwgxhzlBAvaRdCNMcvbd7jFfpmD4eEXll7LRwy5ymJmyeZqk7Nh7eD2LeUyQ68BbndmXw==",
"dev": true,
"dependencies": {
"undici-types": "~6.19.2"
}
},
"src/everart/node_modules/data-uri-to-buffer": {
"version": "4.0.1",
"resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
@ -5201,7 +5175,7 @@
"devDependencies": {
"@types/diff": "^5.0.9",
"@types/minimatch": "^5.1.2",
"@types/node": "^20.11.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
@ -5216,16 +5190,6 @@
"zod": "^3.23.8"
}
},
"src/filesystem/node_modules/@types/node": {
"version": "20.17.6",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.17.6.tgz",
"integrity": "sha512-VEI7OdvK2wP7XHnsuXbAJnEpEkF6NjSN45QJlL4VGqZSXsnicpesdTWsg9RISeSdYd3yeRj/y3k5KGjUXYnFwQ==",
"dev": true,
"license": "MIT",
"dependencies": {
"undici-types": "~6.19.2"
}
},
"src/filesystem/node_modules/brace-expansion": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
@ -5298,7 +5262,7 @@
"mcp-server-gdrive": "dist/index.js"
},
"devDependencies": {
"@types/node": "^22.9.3",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
@ -5313,22 +5277,13 @@
"zod": "^3.23.8"
}
},
"src/gdrive/node_modules/@types/node": {
"version": "22.9.3",
"resolved": "https://registry.npmjs.org/@types/node/-/node-22.9.3.tgz",
"integrity": "sha512-F3u1fs/fce3FFk+DAxbxc78DF8x0cY09RRL8GnXLmkJ1jvx3TtPdWoTT5/NiYfI5ASqXBmfqJi9dZ3gxMx4lzw==",
"dev": true,
"dependencies": {
"undici-types": "~6.19.8"
}
},
"src/github": {
"name": "@modelcontextprotocol/server-github",
"version": "0.6.2",
"license": "MIT",
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node": "^20.11.0",
"@types/node": "^22",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2",
"zod": "^3.22.4",
@ -5352,14 +5307,6 @@
"zod": "^3.23.8"
}
},
"src/github/node_modules/@types/node": {
"version": "20.17.9",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.17.9.tgz",
"integrity": "sha512-0JOXkRyLanfGPE2QRCwgxhzlBAvaRdCNMcvbd7jFfpmD4eEXll7LRwy5ymJmyeZqk7Nh7eD2LeUyQ68BbndmXw==",
"dependencies": {
"undici-types": "~6.19.2"
}
},
"src/github/node_modules/data-uri-to-buffer": {
"version": "4.0.1",
"resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
@ -5501,7 +5448,7 @@
"mcp-server-memory": "dist/index.js"
},
"devDependencies": {
"@types/node": "^22.9.3",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
@ -5516,15 +5463,6 @@
"zod": "^3.23.8"
}
},
"src/memory/node_modules/@types/node": {
"version": "22.9.3",
"resolved": "https://registry.npmjs.org/@types/node/-/node-22.9.3.tgz",
"integrity": "sha512-F3u1fs/fce3FFk+DAxbxc78DF8x0cY09RRL8GnXLmkJ1jvx3TtPdWoTT5/NiYfI5ASqXBmfqJi9dZ3gxMx4lzw==",
"dev": true,
"dependencies": {
"undici-types": "~6.19.8"
}
},
"src/postgres": {
"name": "@modelcontextprotocol/server-postgres",
"version": "0.6.2",
@ -5591,21 +5529,12 @@
"mcp-server-sequential-thinking": "dist/index.js"
},
"devDependencies": {
"@types/node": "^20.11.0",
"@types/node": "^22",
"@types/yargs": "^17.0.32",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
},
"src/sequentialthinking/node_modules/@types/node": {
"version": "20.17.9",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.17.9.tgz",
"integrity": "sha512-0JOXkRyLanfGPE2QRCwgxhzlBAvaRdCNMcvbd7jFfpmD4eEXll7LRwy5ymJmyeZqk7Nh7eD2LeUyQ68BbndmXw==",
"dev": true,
"dependencies": {
"undici-types": "~6.19.2"
}
},
"src/slack": {
"name": "@modelcontextprotocol/server-slack",
"version": "0.6.2",
@ -5617,7 +5546,7 @@
"mcp-server-slack": "dist/index.js"
},
"devDependencies": {
"@types/node": "^22.9.3",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
@ -5631,15 +5560,6 @@
"raw-body": "^3.0.0",
"zod": "^3.23.8"
}
},
"src/slack/node_modules/@types/node": {
"version": "22.9.3",
"resolved": "https://registry.npmjs.org/@types/node/-/node-22.9.3.tgz",
"integrity": "sha512-F3u1fs/fce3FFk+DAxbxc78DF8x0cY09RRL8GnXLmkJ1jvx3TtPdWoTT5/NiYfI5ASqXBmfqJi9dZ3gxMx4lzw==",
"dev": true,
"dependencies": {
"undici-types": "~6.19.8"
}
}
}
}

View file

@ -0,0 +1,22 @@
FROM node:22.12-alpine as builder
COPY src/aws-kb-retrieval-server /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
ENTRYPOINT ["node", "dist/index.js"]

View file

@ -27,6 +27,24 @@ An MCP server implementation for retrieving information from the AWS Knowledge B
Add this to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"aws-kb-retrieval": {
"command": "docker",
"args": [ "run", "-i", "--rm", "-e", "AWS_ACCESS_KEY_ID", "-e", "AWS_SECRET_ACCESS_KEY", "-e", "AWS_REGION", "mcp/aws-kb-retrieval-server" ],
"env": {
"AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
"AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
"AWS_REGION": "YOUR_AWS_REGION_HERE"
}
}
}
}
```
```json
{
"mcpServers": {
@ -46,6 +64,14 @@ Add this to your `claude_desktop_config.json`:
}
```
## Building
Docker:
```sh
docker build -t mcp/aws-kb-retrieval -f src/aws-kb-retrieval-server/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.

View file

@ -23,8 +23,8 @@
"@aws-sdk/client-bedrock-agent-runtime": "^3.0.0"
},
"devDependencies": {
"@types/node": "^20.10.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
}

View file

@ -0,0 +1,23 @@
FROM node:22.12-alpine as builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/brave-search /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
ENTRYPOINT ["node", "dist/index.js"]

View file

@ -36,6 +36,31 @@ An MCP server implementation that integrates the Brave Search API, providing bot
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
### Docker
```json
{
"mcpServers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
@ -53,6 +78,15 @@ Add this to your `claude_desktop_config.json`:
}
```
## Build
Docker build:
```bash
docker build -t mcp/brave-search:latest -f src/brave-search/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.

View file

@ -22,7 +22,7 @@
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^20.10.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}

24
src/everart/Dockerfile Normal file
View file

@ -0,0 +1,24 @@
FROM node:22.12-alpine as builder
COPY src/everart /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
ENTRYPOINT ["node", "dist/index.js"]
CMD ["node", "dist/index.js"]

View file

@ -10,6 +10,24 @@ export EVERART_API_KEY=your_key_here
## Config
Add to Claude Desktop config:
### Docker
```json
{
"mcpServers": {
"everart": {
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "EVERART_API_KEY", "mcp/everart"],
"env": {
"EVERART_API_KEY": "your_key_here"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
@ -71,3 +89,9 @@ Generation details:
You can also click the URL above to view the image again.
```
## Building w/ Docker
```sh
docker build -t mcp/everart -f src/everart/Dockerfile .
```

View file

@ -25,7 +25,7 @@
"open": "^9.1.0"
},
"devDependencies": {
"@types/node": "^20.11.0",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}

22
src/everything/Dockerfile Normal file
View file

@ -0,0 +1,22 @@
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"]

View file

@ -1,4 +1,4 @@
# Everything MCP Server
# 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.
@ -15,7 +15,7 @@ This MCP server attempts to exercise all the features of the MCP protocol. It is
2. `add`
- Adds two numbers together
- Inputs:
- `a` (number): First number
- `a` (number): First number
- `b` (number): Second number
- Returns: Text result of the addition
@ -27,7 +27,7 @@ This MCP server attempts to exercise all the features of the MCP protocol. It is
- Returns: Completion message with duration and steps
- Sends progress notifications during execution
4. `sampleLLM`
4. `sampleLLM`
- Demonstrates LLM sampling capability using MCP sampling feature
- Inputs:
- `prompt` (string): The prompt to send to the LLM
@ -39,17 +39,23 @@ This MCP server attempts to exercise all the features of the MCP protocol. It is
- 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
### Resources
The server provides 100 test resources in two formats:
- Even numbered resources:
- 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}`
- URI pattern: `test://static/resource/{odd_number}`
- Content: Base64 encoded binary data
Resource features:

View file

@ -1,6 +1,7 @@
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import {
CallToolRequestSchema,
CompleteRequestSchema,
CreateMessageRequest,
CreateMessageResultSchema,
GetPromptRequestSchema,
@ -40,6 +41,8 @@ const LongRunningOperationSchema = z.object({
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
@ -48,12 +51,20 @@ const SampleLLMSchema = z.object({
.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({});
enum ToolName {
ECHO = "echo",
ADD = "add",
LONG_RUNNING_OPERATION = "longRunningOperation",
PRINT_ENV = "printEnv",
SAMPLE_LLM = "sampleLLM",
GET_TINY_IMAGE = "getTinyImage",
}
@ -297,6 +308,11 @@ export const createServer = () => {
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:
@ -374,6 +390,17 @@ export const createServer = () => {
};
}
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;
@ -384,7 +411,7 @@ export const createServer = () => {
maxTokens,
);
return {
content: [{ type: "text", text: `LLM sampling result: ${result}` }],
content: [{ type: "text", text: `LLM sampling result: ${result.content.text}` }],
};
}
@ -412,6 +439,34 @@ export const createServer = () => {
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;

36
src/fetch/Dockerfile Normal file
View file

@ -0,0 +1,36 @@
# 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"]

View file

@ -61,6 +61,19 @@ Add to your Claude settings:
```
</details>
<details>
<summary>Using docker</summary>
```json
"mcpServers": {
"fetch": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/fetch"]
}
}
```
</details>
<details>
<summary>Using pip installation</summary>

View file

@ -233,9 +233,21 @@ Although originally you did not have internet access, and were advised to refuse
content, prefix = await fetch_url(
url, user_agent_autonomous, force_raw=args.raw
)
if len(content) > args.max_length:
content = content[args.start_index : args.start_index + args.max_length]
content += f"\n\n<error>Content truncated. Call the fetch tool with a start_index of {args.start_index + args.max_length} to get more content.</error>"
original_length = len(content)
if args.start_index >= original_length:
content = "<error>No more content available.</error>"
else:
truncated_content = content[args.start_index : args.start_index + args.max_length]
if not truncated_content:
content = "<error>No more content available.</error>"
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\n<error>Content truncated. Call the fetch tool with a start_index of {next_start} to get more content.</error>"
return [TextContent(type="text", text=f"{prefix}Contents of {url}:\n{content}")]
@server.get_prompt()

25
src/filesystem/Dockerfile Normal file
View file

@ -0,0 +1,25 @@
FROM node:22.12-alpine as builder
WORKDIR /app
COPY src/filesystem /app
COPY tsconfig.json /tsconfig.json
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
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"]

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