AI Agents
python-sdk
The official Python SDK for Model Context Protocol servers and clients.
★ 24.5k starsMIT
View guide →The official collection of reference Model Context Protocol servers.
servers is an open-source ai agents project by modelcontextprotocol (modelcontextprotocol/servers on GitHub). It has 91,075 GitHub stars and 11,762 forks, is released under the NOASSERTION license, and was last updated on GitHub on 7 October 2026.
Start with one concrete task rather than a grand architecture.
Clone the repo and check the examples folder for a quickstart.
Install packages, set environment variables, and point it at your model.
Execute the demo workflow, then adapt it to your own data.
Curated by the team behind the MCP spec itself.
Grab connectors for files, databases, and dev tools.
Implementations track the current Model Context Protocol.
Works with any MCP-compatible agent or assistant.
Thousands of forks add and adapt servers.
Study real server code to build your own.
Download the source and move into the project folder.
git clone https://github.com/modelcontextprotocol/servers.git
cd serversPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildmodelcontextprotocol/servers is its home on GitHub, with 11762 forks so far. The contributors tab and recent commits show how actively it is maintained.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one.
The code is free; you bring your own model provider, which may be a paid API or a local model.
These are ready-made servers to use or study; FastMCP is a framework for building your own servers quickly. Use both: FastMCP to build, this repo to borrow from.
Follow the README quickstart, then browse the examples directory for patterns that match what you want to build.
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