Provides a FastAPI-based API for managing book data, designed to explore the Model Context Protocol (MCP) implementation in a client-server context.
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This project serves as a study exploring the Model Context Protocol (MCP), implemented using Python and FastAPI. Its primary goal is to understand how MCP can be applied in a client-server context, even when learning resources are primarily available in other languages like TypeScript. It demonstrates a practical application of MCP by providing a functional API for managing book data, allowing for operations like adding, updating, deleting, and querying books.
Características Principales
01FastAPI-based API for book management
02MariaDB integration for persistent data storage
03Model Context Protocol (MCP) implementation for AI agent interaction
04Local development environment setup using uv and pipx
05VSCode/FastMCP integration for AI-driven API requests
060 GitHub stars
Casos de Uso
01Developing and testing RESTful API endpoints for data management
02Experimenting with Model Context Protocol (MCP) concepts in Python
03Interacting with an API using AI agents via VSCode's MCP server integration