PrefectHQ/fastmcp
🚀 The fast, Pythonic way to build MCP servers and clients.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 2 days ago, with 359 contributors on GitHub.
The biggest single-day gain in the last year, +162 stars on Jul 21, coincided with release v4.0.0a1.
Use Cases & Benefits
- Provides a Pythonic framework to build and manage MCP servers and clients for LLM applications.
- Eliminates boilerplate by handling MCP protocol details, enabling fast, simple, and production-ready MCP development.
- Use for creating custom MCP servers exposing tools, resources, and prompts to LLMs with minimal code.
- Use for testing MCP servers efficiently via in-memory clients without network overhead.
- Use for integrating existing OpenAPI or FastAPI services into the MCP ecosystem automatically.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
The fast, Pythonic way to build MCP servers and clients.
Made with ☕️ by Prefect
The Model Context Protocol (MCP) is a new, standardized way to provide context and tools to your LLMs, and FastMCP makes building MCP servers and clients simple and intuitive. Create tools, expose resources, define prompts, and connect components with clean, Pythonic code.
FastMCP's complete documentation is available at gofastmcp.com, including detailed guides, API references, and advanced patterns. This readme provides only a high-level overview.
Documentation is also available in llms.txt format, which is a simple markdown standard that LLMs can consume easily.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
2.6K+326
Open issues
451+200
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 192.3K | +5.2K | 75 | — |
| zed-industries/zed | 94.7K | +2.3K | 75 | 6 days ago |
| google/skills | 23.8K | +2.0K | 75 | — |
| NationalSecurityAgency/ghidra | 99.4K | +1.8K | 75 | 19 days ago |
| DuarteSantos8/openGym | 20.8K | +1.7K | 75 | 7 days ago |
| PrefectHQ/fastmcp | 28.3K | — | 65 | 2 days ago |
| Category median | 94.7K | +2.0K | 75 | — |
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