MCP Knowledge Base Assistant

What is MCP Knowledge Base Assistant?

MCP Knowledge Base Assistant is a project that demonstrates the Model Context Protocol (MCP) by connecting an OpenAI-powered client to a knowledge base server. It allows users to ask questions about company policies and retrieves accurate answers from a structured knowledge base.

How to use MCP Knowledge Base Assistant?

To use the MCP Knowledge Base Assistant, clone the repository, set up a Python environment, and run the server and client applications. Users can ask questions in natural language, and the AI will respond with relevant information from the knowledge base.

Key features of MCP Knowledge Base Assistant?

• Integration with OpenAI's API for natural language processing
• Containerization of the server using Docker
• Ability to query a knowledge base for company policy information
• Simple architecture with client-server communication

Use cases of MCP Knowledge Base Assistant?

1. Answering employee questions about company policies.
2. Providing quick access to information for HR departments.
3. Enhancing internal knowledge sharing within organizations.

FAQ from MCP Knowledge Base Assistant?

• Can I customize the knowledge base?

Yes! You can add more question-answer pairs to the data/kb.json file.

• Is Docker required to run the server?

No, Docker is optional; you can run the server directly with Python.

• How does the client connect to the server?

The client connects to the server using Server-Sent Events (SSE) for real-time communication.