The fast, Pythonic way to build MCP servers. Turn any Python function into an MCP tool in minutes.
FastMCP is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view jlowin/fastmcp --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 109 days ago.
2300 GitHub stars indicate community interest.
12 open issues signal maintenance load.
MIT license detected.
1 security/trust notes recorded.
Setup difficulty is 2/5.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
Zero-dependency, token-efficient MCP server for querying multiple databases via a single interface.
A secure MCP server for AI applications to interact with MySQL databases.
Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
FastMCP is a Python framework that makes creating MCP servers as easy as writing a decorator. You define Python functions, add @mcp.tool(), and they become available to any AI coding agent that supports MCP.
FastMCP is the fastest way to build MCP servers in Python. Inspired by FastAPI's design philosophy, it provides a clean, type-safe API for exposing tools, resources, and prompts to AI agents. It handles all the MCP protocol complexity — transport, JSON-RPC, server lifecycle — so you focus on your tool logic. Supports stdio and SSE transports out of the box. Great for prototyping MCP tools quickly or building production-grade MCP servers.
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The fast, Pythonic way to build MCP servers. Turn any Python function into an MCP tool in minutes.
Python Developers, Backend Engineers
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Your MCP server runs locally with the same permissions as the Python process
Similar or complementary options to evaluate include MCP Server Collection, dbhub, mysql_mcp_server.
Aug 20, 2026