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About
FastMCP 🚀
Move fast and make things.
Made with 💙 by [Prefect](https://www.prefect.io/)
](https://gofastmcp.com) [ ](https://pypi.org/project/fastmcp) [ [](https://github.com/PrefectHQ/fastmcp/blob/main/LICENSE)
The Model Context Protocol (MCP) connects LLMs to tools and data. FastMCP gives you everything you need to go from prototype to production:
from fastmcp import FastMCP
mcp = FastMCP("Demo 🚀")
@mcp.tool
def add(a: int, b: int) -> int:
"""Add two numbers"""
return a + b
if __name__ == "__main__":
mcp.run()Why FastMCP
Building an effective MCP application is harder than it looks. FastMCP handles all of it. Declare a tool with a Python function, and the schema, validation, and documentation are generated automatically. Connect to a server with a URL, and transport negotiation, authentication, and protocol lifecycle are managed for you. You focus on your logic, and the MCP part just works: with FastMCP, best practices are built in.
That's why FastMCP is the standard framework for working with MCP. FastMCP 1.0 was incorporated into the official MCP Python SDK in 2024. Today, the actively maintained standalone project is downloaded a million times a day, and some version of FastMCP powers 70% of MCP servers across all languages.
FastMCP has three pillars:
Servers
Expose tools, resources, and prompts to LLMs.
Apps
Give your tools interactive UIs rendered directly in the conversation.
Clients
Connect to any MCP server — local or remote, programmatic or CLI.
[Servers](https://gofastmcp.com/servers/server) wrap your Python functions into MCP-compliant tools, resources, and prompts. [Clients](https://gofastmcp.com/clients/client) connect to any server with full protocol support. And [Apps](https://gofastmcp.com/apps/overview) give your tools interactive UIs rendered directly in the conversation.
Ready to build? Start with the installation guide or jump straight to the quickstart. When you're ready to deploy, Prefect Horizon offers free hosting for FastMCP users.
Installation
We recommend installing FastMCP with uv:
uv pip install fastmcpFor full installation instructions, including verification and upgrading, see the **Installation Guide**.
Upgrading? We have guides for:
Don't lose this
Three weeks from now, you'll want Fastmcp again. Will you remember where to find it?
Save it to your library and the next time you need Fastmcp, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. 🚀 The fast, Pythonic way to build MCP servers and clients. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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