MCP with RAG Demo

What is MCP with RAG Demo?

MCP with RAG Demo is a demonstration project that showcases the implementation of a Model Context Protocol (MCP) server with Retrieval-Augmented Generation (RAG) capabilities, allowing AI models to interact with a knowledge base, search for information, and add new documents.

How to use MCP with RAG Demo?

To use the demo, clone the repository, set up a virtual environment, install the required dependencies, and start the MCP server. Then, run the client example to interact with the server and perform various operations.

Key features of MCP with RAG Demo?

• MCP server with tool and resource support
• Vector-based RAG implementation using ChromaDB
• Client example for interacting with the MCP server
• Persistent knowledge base storage
• Simple prompt templates

Use cases of MCP with RAG Demo?

1. Integrating AI models with a knowledge base for enhanced information retrieval.
2. Adding and managing documents in a persistent storage system.
3. Utilizing RAG capabilities for improved search and response generation.

FAQ from MCP with RAG Demo?

• What are the prerequisites for running the demo?

You need Python 3.8+ and pip installed.

• How do I start the MCP server?

You can start the server using either direct Python execution or Uvicorn for better performance.

• Can I customize the demo?

Yes! You can add new tools, resources, and prompts by modifying the server.py file.