Customized MCP Project

This project leverages the mcp library with CLI support and integrates with OpenAI's API.

Requirements

Make sure to install the required dependencies before running the project:

pip install -r requirements.txt

Related MCP server: Deep Thinking Assistant

Usage

Configure your OpenAI API key as an environment variable:
export OPENAI_API_KEY="your-api-key"
Start the MCP server:
python server.py
Use the client to interact with the server:
python client.py
Alternatively, use the orchestrator to query the LLM and tools:
python main.py

Example

Querying the Weather Tool

Run the client and call the get_weather tool:

python client.py

Example interaction:

You: List tools Assistant: { "tools": [ { "name": "get_weather", "description": "Get weather for a city", "parameters": { "city": { "type": "string", "description": "Name of the city" } } } ] } You: Call get_weather with {"city": "Beijing"} Assistant: 北京的天气是晴天