MCP Books Service
by thappatan
This project demonstrates the implementation of the Model Context Protocol (MCP) in a blog application system. It provides a seamless integration between language models and structured data operations using a TypeScript-based MCP server, a mock book data service, and a Python-based MCP client.
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What is MCP Books Service?
The MCP Books Service is a project showcasing the use of the Model Context Protocol (MCP) to connect language models with structured data operations in a blog application. It includes a TypeScript server, a mock data service, and a Python client to facilitate communication and integration.
How to use MCP Books Service?
To use the service, first set up the Books MCP Server, Books Mock Service, and MCP Client by following the provided setup instructions. Start the mock service and then run the client. You can then enter queries in the client's interactive CLI interface to interact with the book data through the language model.
Key features of MCP Books Service
TypeScript-based MCP server
Mock book data service with Express.js
Python-based MCP client with Langchain integration
Interactive CLI interface
Integration with local LLMs using Ollama
Use cases of MCP Books Service
Integrating language models with structured data
Building applications that require natural language interaction with data
Demonstrating the use of MCP for seamless integration
Creating interactive data exploration tools
Prototyping LLM-powered applications
FAQ from MCP Books Service
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a protocol designed to facilitate communication between language models and structured data operations.
What is the purpose of the mock service?
What is the purpose of the mock service?
The mock service simulates a real book data service, allowing you to test the MCP server and client without needing a live database.
What is Langchain used for?
What is Langchain used for?
Langchain is used in the Python client to integrate with language models, allowing the client to process natural language queries.
Why use TypeScript for the MCP server?
Why use TypeScript for the MCP server?
TypeScript provides type safety, making the server more robust and easier to maintain.
How can I extend the functionality of the mock service?
How can I extend the functionality of the mock service?
You can extend the mock service by adding new routes and endpoints in the server.js file.