Integrates a FastAPI application with Google's Gemini AI using a simplified Model Context Protocol server.
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This project offers a practical demonstration of connecting a RESTful FastAPI application with Google's Gemini AI. It sets up a simplified Model Context Protocol (MCP) server that exposes the FastAPI application's endpoints as callable tools for the AI. This architecture enables Gemini to interact with the application, managing user data, tasks, and performing various operations through natural language queries, showcasing how to build intelligent agents that can execute backend API calls.
주요 기능
01FastAPI application with user and task management, dice rolling, and statistics
02Seamless integration with Google Gemini AI for natural language interaction
03Comprehensive suite of exposed tools for various application functionalities
04Includes demo mode, interactive mode, and automated demo for easy usage
050 GitHub stars
06Simplified MCP server exposing FastAPI endpoints as AI-callable tools
사용 사례
01Creating intelligent assistants for task and user management within an application
02Building AI-powered agents that interact with existing RESTful APIs
03Demonstrating the Model Context Protocol (MCP) for AI tool integration
