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.
Repository setup guidance
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.
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.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 63 days ago.
2300 GitHub stars indicate community interest.
12 open issues signal maintenance load.
MIT license detected.
Custom MCP server development
Internal tool integration
Rapid prototyping
Your MCP server runs locally with the same permissions as the Python process
2,300
Stars
180
Forks
12
Issues
MIT
License
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
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Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
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, mysql_mcp_server, context7.
May 31, 2026
1 security/trust notes recorded.
Setup difficulty is 2/5.