fastmcp
| Build MCP servers in Python with FastMCP framework to expose tools, resources, and prompts to LLMs. Supports storage backends (memory/disk/Redis), middleware, OAuth Proxy, OpenAPI integration, and FastMCP Cloud deployment. Use when: creating MCP servers, defining tools or resources, implementing OAuth authentication, configuring storage backends for tokens/cache, adding middleware for logging/rate limiting, deploying to FastMCP Cloud, or troubleshooting module-level server, storage, lifespan,
Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation
View all platforms →skilz install jezweb_claude-skills/fastmcp skilz install jezweb_claude-skills/fastmcp --agent opencode skilz install jezweb_claude-skills/fastmcp --agent codex skilz install jezweb_claude-skills/fastmcp --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jezweb/claude-skills cp -r claude-skills/skills/fastmcp ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Details
- Owner
- jezweb
- Repository
- claude-skills
- Stars
- 99
- Forks
- 14
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- database
- Sub-Domain
- schema query
- Skill Size
- 183.3 KB
- Files
- 25
- Quality Score
- 72.0
AI-Detected Topics
Extracted using NLP analysis
Browse Category
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