flowchart LR
    subgraph Agent["LangGraph ReAct Agent (client.py)"]
        ChatGroq["LLM: Groq (Qwen / ChatGroq)"]
        MultiMCP["MultiServerMCPClient"]
    end

    subgraph MathServer["Math MCP Server (mathserver.py)"]
        MathTools["Tools: add, sub, mul, div"]
    end

    subgraph WeatherServer["Weather MCP Server (weatherserver.py)"]
        WeatherTools["Tool: get_weather (OpenWeatherMap API)"]
    end

    MultiMCP -- "stdio transport (subprocess)" --> MathServer
    MultiMCP -- "streamable-http (http://127.0.0.1:8000/mcp)" --> WeatherServer

Mcp_demo/
├── client.py           # ReAct Agent & Multi-Server MCP client orchestrator
├── mathserver.py       # FastMCP server running on stdio transport
├── weatherserver.py    # FastMCP server with OpenWeatherMap API on HTTP transport
├── requirements.txt    # Python package dependencies
├── pyproject.toml      # Project configuration & metadata
├── .env.example        # Environment variables template
├── .gitignore          # Git ignore rules (protects .env and caches)
└── README.md           # Project documentation

git clone https://github.com/sreeshanthkprakash-stack/MCP-Server.git
cd MCP-Server

# Create and activate virtual environment
python -m venv .venv
# On Windows:
.venv\Scripts\activate
# On Linux/macOS:
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt

GROQ_API_KEY=your_groq_api_key_here
OPENWEATHER_API_KEY=your_openweather_api_key_here

python weatherserver.py

python client.py

math_response The result of the expression ((15*20)+200)/4 is 125.
weather_response Weather in Hyderabad: haze, temperature 29.5°C (feels like 32.1°C), humidity 65%