MCP Knowledge Base Assistant

What is MCP Knowledge Base Assistant?

MCP Knowledge Base Assistant is a demonstration of the Model Context Protocol (MCP) that connects an OpenAI-powered client to a knowledge base server. It shows how to build an AI assistant that answers questions about company policies by accessing a knowledge base through MCP.

How to use MCP Knowledge Base Assistant?

Install prerequisites (Python 3.11+, OpenAI API key), clone the repo, create a virtual environment, install dependencies, and set OPENAI_API_KEY in a .env file. Run the server with python server.py (or Docker), then run python client.py in another terminal. The client sends a sample query; modify client.py to ask different questions.

Key features of MCP Knowledge Base Assistant

• Exposes a knowledge base as an MCP tool (get_knowledge_base)
• Integrates OpenAI GPT-4o for natural language query processing
• Supports both direct Python execution and Docker containerization
• Proper lifecycle management with async context managers
• Simple JSON-based knowledge base (data/kb.json) for easy customization
• Follows MCP client-host-server architecture with SSE transport on port 8050

Use cases of MCP Knowledge Base Assistant

• Answering employee questions about company policies (e.g., equal opportunity)
• Demonstrating how to build and connect an MCP server to an LLM
• Testing MCP tool integration with a minimal knowledge base
• Extending the server with additional tools and policies