MCP Knowledge Base

A simple MCP client-server

Requirements

• Python 3.9 or higher
• Poetry for dependency management
• OpenAI API key

Setup

1. Install dependencies using Poetry:

poetry install

2Create a `.env` file in the project root or parent directory with your OpenAI API key:

OPENAI_API_KEY=your_api_key_here

Project Structure

• `server.py`: MCP server implementation with tools
• `client-sse.py`: MCP client implementation with LLM capabilities
• `data/kb.json`: Knowledge base data with MCP-related Q&A
• `pyproject.toml`: Poetry configuration file

Running the Application

1. Start the server:

poetry run python server.py

2. In a separate terminal, run the client:

poetry run python client-sse.py

Using the Client

The client has two modes:

1. Direct tool calls:

2. LLM-powered interactions (default):

Customizing

• Add new tools to `server.py` by creating additional functions with the `@mcp.tool()` decorator
• Modify the knowledge base by updating `data/kb.json`
• Change the OpenAI model by modifying the `model` parameter in the `MCPClient` class