fastmcp
Overview
FastMCP is a Python framework for building high-performance MCP servers with minimal boilerplate. It emphasizes speed and simplicity, providing decorators and utilities that let developers create MCP servers from existing Python functions without understanding the full MCP protocol details. Editor's Review: FastMCP is the fastest path from Python function to MCP server. If you have existing Python code that you want to expose as MCP tools, FastMCP lets you do that with minimal additional code. The framework handles the protocol overhead, letting you focus on your tool's logic rather than MCP implementation details. Performance is a key design goal—FastMCP servers have lower latency than naive implementations, which matters for production deployments where tools are called frequently. For Python developers building MCP integrations, FastMCP is the recommended starting point.
Editor's Review
By Lee Li · 5/7/2026
Capabilities
- • resource handlers
- • prompt templates
- • tool call interface
- • authentication support
- • github integration
- • workflow automation support
Best For
fastmcp is a Python tool for building MCP servers and clients efficiently.
Decision Snapshot
Install
available
Docs
8 links
Capabilities
6 key capabilities detected
- • GitHub stars: 24549
- • Forks: 1929
- • Source provenance count: 1
- • Active signal: Updated this week from lifecycle signals.
- • Last seen: 4/15/2026
- • Published: 3/15/2026
Installation / Setup
uv pip install fastmcp
Features
- • Profile category: Servers.
- • Primary language signal: Python.
- • Official repository link is available.
- • Official website link is available.
- • Topic tags: agents, fastmcp, llms, mcp.
- • Documentation links available: 8.
Supported Clients / Integrations
- • resource handlers
- • prompt templates
- • tool call interface
- • authentication support
- • github integration
- • workflow automation support
Compatibility Signals
- • GitHub: supports (Detected in parser config/capability hints.)
Notes / Requirements
- • Primary language: Python
- • License: Apache-2.0
- • Documentation coverage: high
- • Parser coverage score: 0.90
- • Source provenance includes GitHub discovery
- • Source feeds: GitHub Search API
- • Topic cluster: coding
Official Links
Source Information
You can verify all information on this page against the source repository above.
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What To Do Next
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