Agent Capability Analysis
The README.md skill by tadata-org is an open-source official AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for authentication, authorization, fastapi.
Ideal Agent Persona
Perfect for Developer Agents needing comprehensive project documentation and analysis capabilities in Markdown format.
Core Value
Empowers agents to parse and generate README.md files using GitHub API, providing project insights and metadata extraction capabilities with libraries like FastAPI and MCP, supporting protocols like HTTP and HTML.
↓ Capabilities Granted for README.md
! Prerequisites & Limits
- Requires GitHub API access
- Limited to Markdown file format
- Dependent on FastAPI and MCP libraries
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
README.md
Install README.md, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.
Features
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Authentication built in, using your existing FastAPI dependencies!
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FastAPI-native: Not just another OpenAPI -> MCP converter
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Zero/Minimal configuration required - just point it at your FastAPI app and it works
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Preserving schemas of your request models and response models
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Preserve documentation of all your endpoints, just as it is in Swagger
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Flexible deployment - Mount your MCP server to the same app, or deploy separately
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ASGI transport - Uses FastAPI's ASGI interface directly for efficient communication
Hosted Solution
If you prefer a managed hosted solution check out tadata.com.
Installation
We recommend using uv, a fast Python package installer:
bash1uv add fastapi-mcp
Alternatively, you can install with pip:
bash1pip install fastapi-mcp
Basic Usage
The simplest way to use FastAPI-MCP is to add an MCP server directly to your FastAPI application:
python1from fastapi import FastAPI 2from fastapi_mcp import FastApiMCP 3 4app = FastAPI() 5 6mcp = FastApiMCP(app) 7 8# Mount the MCP server directly to your FastAPI app 9mcp.mount()
That's it! Your auto-generated MCP server is now available at https://app.base.url/mcp.
Documentation, Examples and Advanced Usage
FastAPI-MCP provides comprehensive documentation. Additionaly, check out the examples directory for code samples demonstrating these features in action.
FastAPI-first Approach
FastAPI-MCP is designed as a native extension of FastAPI, not just a converter that generates MCP tools from your API. This approach offers several key advantages:
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Native dependencies: Secure your MCP endpoints using familiar FastAPI
Depends()for authentication and authorization -
ASGI transport: Communicates directly with your FastAPI app using its ASGI interface, eliminating the need for HTTP calls from the MCP to your API
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Unified infrastructure: Your FastAPI app doesn't need to run separately from the MCP server (though separate deployment is also supported)
This design philosophy ensures minimum friction when adding MCP capabilities to your existing FastAPI services.
Development and Contributing
Thank you for considering contributing to FastAPI-MCP! We encourage the community to post Issues and create Pull Requests.
Before you get started, please see our Contribution Guide.
Community
Join MCParty Slack community to connect with other MCP enthusiasts, ask questions, and share your experiences with FastAPI-MCP.
Requirements
- Python 3.10+ (Recommended 3.12)
- uv
License
MIT License. Copyright (c) 2025 Tadata Inc.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is README.md?
Perfect for Developer Agents needing comprehensive project documentation and analysis capabilities in Markdown format. <p align="center"><a href="https://github.com/tadata-org/fastapi_mcp"><img src="https://github.com/user-attachments/assets/7e44e98b-a0ba-4aff-a68a-4ffee3a6189c" alt="fastapi-to-mcp" height=100/></a></p> <div align="center"> <span style="font-size: 0.85em; font-weight: normal;">Built by <a href="https://tadata.com">Tadata</a></span> </div> <h1 align="center"> FastAPI-MCP </h1> <div align="center"> <a href="https://trendshift.io/repositories/14064" target="_blank"><img src="https://trendshi
How do I install README.md?
Run the command: npx killer-skills add tadata-org/fastapi_mcp. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for README.md?
Key use cases include: Generating project documentation automatically, Parsing README.md files for metadata extraction, Creating project overviews with embedded images and links.
Which IDEs are compatible with README.md?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for README.md?
Requires GitHub API access. Limited to Markdown file format. Dependent on FastAPI and MCP libraries.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add tadata-org/fastapi_mcp. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use README.md immediately in the current project.
