fastmcp
Reduces MCP server development friction for Python teams, enabling faster integration with Claude and other AI models without managing low-level protocol comโฆ
๐ The fast, Pythonic way to build MCP servers and clients.
- Build a custom MCP server that connects your internal tools to Claude in minutes.
- Generate Python MCP client code to integrate Claude into your existing workflows.
- Create tool handlers that let Claude call your company's APIs and databases safely.
Reduces MCP server development friction for Python teams, enabling faster integration with Claude and other AI models without managing low-level protocol complexity.
Python-focused engineering teams building internal AI tools or custom Claude integrations requiring minimal boilerplate.
https://github.com/PrefectHQ/fastmcp
By PrefectHQ
How to Get It
claude mcp add fastmcp -- npx -y fastmcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me build a custom MCP server that connects my internal tools to Claude in minutes
Trust Signals Auto-scanned
Data & Access
Community Pulse New
- Welcome to FastMCP โ Hacker News ยท 80 pts
- Fastmcpp (Fastmcp for C++) โ Hacker News ยท 61 pts
- Accelerating AI with FastMCP Cloud โ Hacker News ยท 15 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 26,785 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying โ
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 26,785 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.