Exposes a mock e-commerce store data as Model Context Protocol (MCP) tools for conversational AI agents.
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This project provides an end-to-end example of a fastMCP server, demonstrating how to integrate a mock e-commerce store with conversational AI agents. It features a FastAPI application and PostgreSQL database, sharing a consistent data source between a traditional REST API and MCP tools. This setup enables AI agents to interactively explore store information, including customer details, product inventory, and order data, through a suite of well-defined MCP tools.
主要功能
01Utilizes FastAPI for backend and PostgreSQL for data storage
02Configurable with popular AI clients like Claude, Cursor, and VS Code Continue
03Provides tools to query customers, products, inventory, and orders
04Exposes a comprehensive mock e-commerce store via MCP tools
050 GitHub stars
06Ensures data consistency between REST API and MCP interfaces
使用案例
01Developing and testing AI agents that interact with e-commerce data
02Demonstrating fastMCP server implementation with a real-world data model
03Providing a sandbox environment for integrating conversational AI with business logic
