This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references 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 or Python MCP SDK.
These servers aim to demonstrate MCP features and the Typescript and Python SDK.
- AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
- Brave Search - Web and local search using Brave's Search API
- EverArt - AI image generation using various models
- Everything - Reference / test server with prompts, resources, and tools
- Fetch - Web content fetching and conversion for efficient LLM usage
- Filesystem - Secure file operations with configurable access controls
- Git - Tools to read, search, and manipulate Git repositories
- GitHub - Repository management, file operations, and GitHub API integration
- GitLab - GitLab API, enabling project management
- Google Drive - File access and search capabilities for Google Drive
- Google Maps - Location services, directions, and place details
- Memory - Knowledge graph-based persistent memory system
- PostgreSQL - Read-only database access with schema inspection
- Puppeteer - Browser automation and web scraping
- Sentry - Retrieving and analyzing issues from Sentry.io
- Sequential Thinking - Dynamic and reflective problem-solving through thought sequences
- Slack - Channel management and messaging capabilities
- Sqlite - Database interaction and business intelligence capabilities
- Time - Time and timezone conversion capabilities
Official integrations are maintained by companies building production ready MCP servers for their platforms.
Axiom - Query and analyze your Axiom logs, traces, and all other event data in natural language
Browserbase - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
Cloudflare - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- Raygun - Interact with your crash reporting and real using monitoring data on your Raygun account
- Obsidian Markdown Notes - Read and search through your Obsidian vault or any directory containing Markdown notes
E2B - Run code in secure sandboxes hosted by E2B
Exa - Search Engine made for AIs by Exa
JetBrains – Work on your code with JetBrains IDEs
- Needle - Production-ready RAG out of the box to search and retrieve data from your own documents.
- Neon - Interact with the Neon serverless Postgres platform
Neo4j - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
Tinybird - Interact with Tinybird serverless ClickHouse platform
Search1API - One API for Search, Crawling, and Sitemaps
Qdrant - Implement semantic memory layer on top of the Qdrant vector search engine
Metoro - Query and interact with kubernetes environments monitored by Metoro
A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.
Note: Community servers are untested and should be used at your own risk. They are not affiliated with or endorsed by Anthropic.
- MCP Installer - This server is a server that installs other MCP servers for you.
- NS Travel Information - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API.
- Spotify - This MCP allows an LLM to play and use Spotify.
- Inoyu - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles
- Vega-Lite - Generate visualizations from fetched data using the VegaLite format and renderer.
- Snowflake - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
- MySQL (by DesignComputer) - MySQL database integration in Python with configurable access controls and schema inspection
- MySQL (by benborla) - MySQL database integration in NodeJS with configurable access controls and schema inspection
- MSSQL - MSSQL database integration with configurable access controls and schema inspection
- BigQuery (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
- BigQuery (by ergut) - Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities
- Todoist - Interact with Todoist to manage your tasks.
- Tavily search - An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions
- Linear - Allows LLM to interact with Linear's API for project management, including searching, creating, and updating issues.
- Playwright - This MCP Server will help you run browser automation and webscraping using Playwright
- AWS - Perform operations on your AWS resources using an LLM
- LlamaCloud (by marcusschiesser) - Integrate the data stored in a managed index on LlamaCloud
- Any Chat Completions - Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more.
- Windows CLI - MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells.
- OpenRPC - Interact with and discover JSON-RPC APIs via OpenRPC.
- FireCrawl - Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting
- AlphaVantage - MCP server for stock market data API AlphaVantage
- Docker - Integrate with Docker to manage containers, images, volumes, and networks.
- Kubernetes - Connect to Kubernetes cluster and manage pods, deployments, and services.
- OpenAPI - Interact with OpenAPI APIs.
- 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 - MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone's Inference API.
- HuggingFace Spaces - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
- ChatSum - Query and Summarize chat messages with LLM. by mcpso
- Rememberizer AI - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
- FlightRadar24 - A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
- X (Twitter) (by vidhupv) - Create, manage and publish X/Twitter posts directly through Claude chat.
- X (Twitter) (by EnesCinr) - Interact with twitter API. Post tweets and search for tweets by query.
- 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 - Read and search through your XMind directory containing XMind files.
- oatpp-mcp - C++ MCP integration for Oat++. Use Oat++ to build MCP servers.
- Contentful-mcp - Read, update, delete, publish content in your Contentful space(s) from this MCP Server.
- Home Assistant - Interact with Home Assistant including viewing and controlling lights, switches, sensors, and all other Home Assistant entities.
- cognee-mcp - GraphRAG memory server with customizable ingestion, data processing and search
- Airtable - Read and write access to Airtable databases, with schema inspection.
- mcp-k8s-go - Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more. Built to be extensible.
- Notion (by v-3) - Notion MCP integration. Search, Read, Update, and Create pages through Claude chat.
- Notion (by suekou) - Interact with Notion API.
- TMDB - This MCP server integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations.
- MongoDB - A Model Context Protocol Server for MongoDB.
- Airtable - Airtable Model Context Protocol Server.
- Atlassian - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
- Google Tasks - Google Tasks API Model Context Protocol Server.
- Fetch - A server that flexibly fetches HTML, JSON, Markdown, or plaintext
Additional resources on MCP.
- Awesome MCP Servers by punkpeye (website) - A curated list of MCP servers by Frank Fiegel
- Awesome MCP Servers by wong2 (website) - A curated list of MCP servers by wong2
- Awesome MCP Servers by appcypher - A curated list of MCP servers by Stephen Akinyemi
- Open-Sourced MCP Servers Directory - A curated list of MCP servers by mcpso
- Discord Server – A community discord server dedicated to MCP by Frank Fiegel
- Smithery - A registry of MCP servers to find the right tools for your LLM agents by Henry Mao
- mcp-get - Command line tool for installing and managing MCP servers by Michael Latman
- mcp-cli - A CLI inspector for the Model Context Protocol by wong2
- r/mcp – A Reddit community dedicated to MCP by Frank Fiegel
- MCP X Community – A X community for MCP by Xiaoyi
- mcp-manager - Simple Web UI to install and manage MCP servers for Claude Desktop by Zue
- MCPHub – An Open Source MacOS & Windows GUI Desktop app for discovering, installing and managing MCP servers by Jeamee
Typescript-based servers in this repository can be used directly with npx.
For example, this will start the Memory server:
npx -y @modelcontextprotocol/server-memoryPython-based servers in this repository can be used directly with uvx or pip. uvx is recommended for ease of use and setup.
For example, this will start the Git server:
# With uvx
uvx mcp-server-git
# With pip
pip install mcp-server-git
python -m mcp_server_gitFollow these instructions to install uv / uvx and these to install pip.
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:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
}
}
}Additional examples of using the Claude Desktop as an MCP client might look like:
{
"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": "<YOUR_TOKEN>"
}
},
"postgres": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
}
}
}Interested in creating your own MCP server? Visit the official documentation at modelcontextprotocol.io for comprehensive guides, best practices, and technical details on implementing MCP servers.
See CONTRIBUTING.md for information about contributing to this repository.
See SECURITY.md for reporting security vulnerabilities.
This project is licensed under the MIT License - see the LICENSE file for details.
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!