Integrating Tools With MCP Server

MCP Demo with LangChain and Groq

This project demonstrates how to use LangChain MCP Adapters with multiple tools (mathserver.py, weather.py) and integrate it with Groq LLMs to build a multi-agent intelligent system.

🔧 Technologies Used -

• LangChain
• LangGraph
• MCP (Multi-tool Composable Protocol)
• Groq LLMs
• FastAPI (for weather service)
• AsyncIO (Python async)
• .env configuration via python-dotenv

📁 Project Structure

.
├── client.py             
├── weather.py            
├── mathserver.py          
├── .env                  
├── requirements.txt      
├── README.md            
└── env/ or .venv/