Model Context Protocol servers
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.
[!IMPORTANT]
If you are looking for a list of MCP servers, you can browse published servers on the MCP Registry. The repository served by this README is dedicated to housing just the small number of reference servers maintained by the MCP steering group.
[!WARNING]
The servers in this repository are intended as reference implementations to demonstrate MCP features and SDK usage. They are meant to serve as educational examples for developers building their own MCP servers, not as production-ready solutions. Developers should evaluate their own security requirements and implement appropriate safeguards based on their specific threat model and use case.
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.
Typically, each MCP server is implemented with an MCP SDK:
🌟 Reference Servers
These servers aim to demonstrate MCP features and the official SDKs.
- 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.
- Memory - Knowledge graph-based persistent memory system.
- Sequential Thinking - Dynamic and reflective problem-solving through thought sequences.
- Time - Time and timezone conversion capabilities.
Archived
The following reference servers are now archived and can be found at servers-archived.
- AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
- Brave Search - Web and local search using Brave's Search API. Has been replaced by the official server (
@brave/brave-search-mcp-server).
- EverArt - AI image generation using various models.
- 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.
- PostgreSQL - Read-only database access with schema inspection.
- Puppeteer - Browser automation and web scraping.
- Redis - Interact with Redis key-value stores.
- Sentry - Retrieving and analyzing issues from Sentry.io.
- Slack - Channel management and messaging capabilities. Now maintained by
🚀 Getting Started
Using MCP Servers in this Repository
TypeScript-based servers in this repository can be started with npx.
For example, this will start the Memory server:
npx -y @modelcontextprotocol/server-memory
Python-based servers in this repository can be started 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_git
Follow these instructions to install uv / uvx and these to install pip.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
