servers
Model Context Protocol Servers
The Model Context Protocol Servers repository provides official reference implementations maintained by the MCP steering group to demonstrate how to build MCP servers. These educational examples showcase integration patterns for connecting large language models to tools and data sources through the Model Context Protocol. The collection includes servers for filesystem operations, Git repositories, web content fetching, knowledge graphs, and more, each implemented using official MCP SDKs across multiple programming languages.
Key Features
Use Cases
- 01Learning how to build custom MCP servers using official SDK examples
- 02Giving LLMs controlled access to local filesystems with security boundaries
- 03Enabling AI assistants to interact with Git repositories for code analysis
- 04Building persistent memory systems for LLMs using knowledge graphs
- 05Fetching and converting web content for efficient LLM consumption
- 06Creating educational prototypes before developing production MCP servers
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servers — FAQ
What is the Model Context Protocol Servers repository?+
This repository contains official reference implementations of MCP servers maintained by the MCP steering group. These are educational examples demonstrating how to build MCP servers, not production-ready solutions, and showcase integrations with filesystems, Git, web content, and knowledge graphs.
How do I install and use an MCP server from this repository?+
TypeScript servers can be run directly with npx (e.g., npx -y @modelcontextprotocol/server-memory), while Python servers use uvx or pip (e.g., uvx mcp-server-git). You then configure them in an MCP client like Claude Desktop by adding command and args to your mcpServers configuration.
Which AI clients work with these MCP servers?+
These servers work with any MCP-compatible client, with Claude Desktop being the most commonly documented example in the configuration guides. Any application supporting the Model Context Protocol can connect to these reference servers.
Do these MCP servers require API keys or special prerequisites?+
Most reference servers like Memory, Time, and Sequential Thinking require no API keys. The Filesystem server needs directory paths, and the Git server needs repository paths as configuration parameters. Previously maintained servers that required API keys (GitHub, Google Maps, etc.) have been archived or moved to community maintenance.
Are these MCP servers free to use?+
Yes, all reference servers in this repository are open source and free to use. New contributions are licensed under Apache License 2.0, with existing code under MIT license.
Should I use these servers in production?+
No, these are reference implementations intended for educational purposes and demonstrating MCP features. Developers should evaluate security requirements and implement appropriate safeguards for production use cases based on their specific threat model.
How do I install servers?+
Open the source repository on GitHub and follow its README. servers is a mcp server — MCP Agents Market links you directly to the official repo.
Is servers free?+
servers is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.