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---
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title: Examples
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description: 'A list of example servers and implementations'
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---
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This page showcases various Model Context Protocol (MCP) servers that demonstrate the protocol's capabilities and versatility. These servers enable Large Language Models (LLMs) to securely access tools and data sources.
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## Reference implementations
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These official reference servers demonstrate core MCP features and SDK usage:
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### Data and file systems
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- **[Filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem)** - Secure file operations with configurable access controls
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- **[PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres)** - Read-only database access with schema inspection capabilities
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- **[SQLite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite)** - Database interaction and business intelligence features
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- **[Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive)** - File access and search capabilities for Google Drive
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### Development tools
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- **[Git](https://github.com/modelcontextprotocol/servers/tree/main/src/git)** - Tools to read, search, and manipulate Git repositories
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- **[GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github)** - Repository management, file operations, and GitHub API integration
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- **[GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab)** - GitLab API integration enabling project management
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- **[Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry)** - Retrieving and analyzing issues from Sentry.io
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### Web and browser automation
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- **[Brave Search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search)** - Web and local search using Brave's Search API
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- **[Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)** - Web content fetching and conversion optimized for LLM usage
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- **[Puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer)** - Browser automation and web scraping capabilities
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### Productivity and communication
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- **[Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack)** - Channel management and messaging capabilities
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- **[Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps)** - Location services, directions, and place details
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- **[Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory)** - Knowledge graph-based persistent memory system
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### AI and specialized tools
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- **[EverArt](https://github.com/modelcontextprotocol/servers/tree/main/src/everart)** - AI image generation using various models
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- **[Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking)** - Dynamic problem-solving through thought sequences
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- **[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
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## Official integrations
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These MCP servers are maintained by companies for their platforms:
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- **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze logs, traces, and event data using natural language
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- **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud
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- **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy and manage resources on the Cloudflare developer platform
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- **[E2B](https://github.com/e2b-dev/mcp-server)** - Execute code in secure cloud sandboxes
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- **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
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- **[Obsidian Markdown Notes](https://github.com/calclavia/mcp-obsidian)** - Read and search through Markdown notes in Obsidian vaults
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- **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory using the Qdrant vector search engine
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- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Access crash reporting and monitoring data
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- **[Search1API](https://github.com/fatwang2/search1api-mcp)** - Unified API for search, crawling, and sitemaps
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- **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interface with the Tinybird serverless ClickHouse platform
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## Community highlights
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A growing ecosystem of community-developed servers extends MCP's capabilities:
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- **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Manage containers, images, volumes, and networks
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- **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Manage pods, deployments, and services
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- **[Linear](https://github.com/jerhadf/linear-mcp-server)** - Project management and issue tracking
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- **[Snowflake](https://github.com/datawiz168/mcp-snowflake-service)** - Interact with Snowflake databases
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- **[Spotify](https://github.com/varunneal/spotify-mcp)** - Control Spotify playback and manage playlists
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- **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Task management integration
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> **Note:** Community servers are untested and should be used at your own risk. They are not affiliated with or endorsed by Anthropic.
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For a complete list of community servers, visit the [MCP Servers Repository](https://github.com/modelcontextprotocol/servers).
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## Getting started
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### Using reference servers
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TypeScript-based servers can be used directly with `npx`:
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```bash
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npx -y @modelcontextprotocol/server-memory
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```
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Python-based servers can be used with `uvx` (recommended) or `pip`:
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```bash
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# Using uvx
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uvx mcp-server-git
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# Using pip
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pip install mcp-server-git
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python -m mcp_server_git
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```
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### Configuring with Claude
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To use an MCP server with Claude, add it to your configuration:
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```json
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{
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"mcpServers": {
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"memory": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-memory"]
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},
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"filesystem": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]
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},
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"github": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-github"],
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"env": {
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"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
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}
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}
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}
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}
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```
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## Additional resources
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- [MCP Servers Repository](https://github.com/modelcontextprotocol/servers) - Complete collection of reference implementations and community servers
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- [Awesome MCP Servers](https://github.com/punkpeye/awesome-mcp-servers) - Curated list of MCP servers
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- [MCP CLI](https://github.com/wong2/mcp-cli) - Command-line inspector for testing MCP servers
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- [MCP Get](https://mcp-get.com) - Tool for installing and managing MCP servers
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Visit our [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions) to engage with the MCP community. |