MCP Server for Bookstore AI

Example Use Cases

• 1

  Fetch and query bookstore inventory data dynamically.

• 2

  Integrate structured tool calling with LLM conversational responses.

• 3

  Provide streaming or non-streaming AI-powered answers via an API.

Description

This project implements a Model Context Protocol (MCP) server that exposes bookstore-related tools such as fetching book data, alongside a custom AI-powered agent that interacts with the server to provide conversational responses. It demonstrates structured tool calling with MCP, dynamic tool discovery, and integration with OpenAI for answering user queries. The setup includes a lightweight Express API for streaming and non-streaming LLM responses, making it a proof-of-concept for AI-driven bookstore services.