Awesome Fastapi
Enhances the Model Context Protocol with FastAPI's ecosystem, offering improved tool registry and documentation.
About
Awesome FastAPI is a production-ready implementation of the Model Context Protocol that leverages FastAPI's robust ecosystem. It enhances standard MCP functionality with an improved tool registry system for creating, managing, and documenting AI tools for Large Language Models (LLMs). By using FastAPI, it gains features like automatic OpenAPI documentation, dependency injection, middleware support, and asynchronous capabilities, making it easier to build and deploy AI-powered applications.
Key Features
- Automatic OpenAPI documentation generation
- Built-in support for asynchronous operations
- Robust request/response validation with Pydantic
- 14 GitHub stars
- Enhanced type information extraction
- Improved error handling with structured responses
Use Cases
- Creating AI tools for Large Language Models
- Managing and documenting AI tools within an application
- Building production-ready Model Context Protocol implementations
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