FastAPI Integration
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Wraps a FastAPI application as an MCP server, enabling its endpoints to be called as tools directly via Gemini CLI.
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This project offers a practical demonstration of integrating FastAPI applications with the Model Context Protocol (MCP). It illustrates how to convert a standard FastAPI backend, featuring user and task management, into an MCP server that exposes its functionalities as callable tools. This setup facilitates direct interaction with the FastAPI services through the Gemini CLI, showcasing how developers can empower large language models (LLMs) to orchestrate and utilize web APIs, thereby enhancing automated workflows and intelligent agent capabilities.
Características Principales
- FastAPI application with user and task management functionalities
- Exposes all FastAPI endpoints as MCP tools for external interaction
- Robust error handling and type safety for MCP tool definitions
- Seamless integration with Google Gemini CLI for direct tool calling
- Interactive demo and setup scripts for quick deployment and testing
- 0 GitHub stars
Casos de Uso
- Making existing REST APIs accessible to large language models (LLMs) via MCP
- Developing LLM agents capable of interacting with backend services through defined tools
- Demonstrating the Model Context Protocol (MCP) integration pattern for web applications
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