Weather MCP Server 🌤️

A Model Context Protocol (MCP) server that provides real-time weather information for any city using the Open-Meteo API.

Features

• 🌍 Get current weather for any city worldwide

• 🌡️ Returns temperature in Celsius

• 💨 Provides wind speed in km/h

• 📍 Includes geographic coordinates

• 🐳 Fully containerized with Docker

• 🚀 Easy to deploy and use

Related MCP server: MCP Weather Server

Quick Start

Using Docker (Recommended)

Pull and run the pre-built image from Docker Hub:

docker pull 125478963/weather-mcp:latest
docker run -d -p 8000:8000 125478963/weather-mcp:latest

The server will be available at: http://localhost:8000/mcp

Building from Source

1. Clone this repository:

git clone https://github.com/rajeevchandra/weather-mcp-docker.git
cd weather-mcp-docker

2. Build the Docker image:

docker build -t weather-mcp .

3. Run the container:

docker run -d -p 8000:8000 weather-mcp

Usage

This MCP server exposes a weather tool that can be used by MCP clients like Claude Desktop.

Available Tool

weather(city: str)

• Returns current temperature (°C) and wind speed (km/h) for the specified city

• Default city: Philadelphia

Example Response

{
  "city": "London",
  "latitude": 51.5074,
  "longitude": -0.1278,
  "temperature_c": 15.2,
  "windspeed_kmh": 12.5
}

Configuration

The server runs on:

• Host: 0.0.0.0 (accessible from outside the container)

• Port: 8000

• Endpoint: /mcp

Using with MCP Clients

Claude Desktop

Add this to your Claude Desktop MCP settings:

{
  "mcpServers": {
    "weather": {
      "url": "http://localhost:8000/mcp"
    }
  }
}

Development

Prerequisites

• Python 3.11+

• Docker (optional, for containerization)

Local Development

1. Install dependencies:

pip install -r requirements.txt

2. Run the server:

python server.py

Testing

Run the complete test script to verify the server is working:

python complete_test.py

This will:

1. Initialize a session with the MCP server

2. List available tools

3. Test the weather tool with multiple cities (London, Paris, Tokyo)

4. Display real-time weather data

Expected Output:

✅ Session initialized successfully!
Server: WeatherMCP
Version: 1.20.0

🌍 Getting weather for London...
   ✅ Success!
      Temperature: 14.2°C
      Wind Speed: 15.3 km/h

Or use the quick health check:

curl http://localhost:8000/mcp

Project Structure

weather-mcp/
├── server.py           # Main MCP server implementation
├── requirements.txt    # Python dependencies
├── Dockerfile         # Docker configuration
├── easy_test.py       # Simple test script
└── README.md          # This file

How It Works

1. Geocoding: Converts city names to coordinates using Open-Meteo Geocoding API

2. Weather Data: Fetches current weather data using Open-Meteo Weather API

3. MCP Protocol: Exposes weather data through the Model Context Protocol

API Credits

This server uses the Open-Meteo API which is free and requires no API key.

Docker Hub

Pre-built images are available on Docker Hub:

• Latest: 125478963/weather-mcp:latest

• Version 1: 125478963/weather-mcp:v1

View on Docker Hub

Troubleshooting

Server not responding?

Check if the container is running:

docker ps | grep weather-mcp

View logs:

docker logs <container-id>

Port already in use?

Use a different port:

docker run -d -p 8080:8000 125478963/weather-mcp:latest

License

MIT License - feel free to use and modify as needed.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions, please open an issue on GitHub.

Made with ❤️ using the Model Context Protocol