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Weather MCP Server šŸŒ¤ļø

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

Features

  • šŸŒ Get current weather for any city worldwide

  • šŸŒ”ļø Returns temperature in Celsius

  • šŸ’Ø Provides wind speed in km/h

  • šŸ“ Includes geographic coordinates

  • 🐳 Fully containerized with Docker

  • šŸš€ Easy to deploy and use

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
  1. Build the Docker image:

docker build -t weather-mcp .
  1. 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
  1. 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:

āœ… Session initialized successfully! Server: WeatherMCP Version: 1.20.0 šŸŒ Getting weather for London... āœ… 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/ ā”œā”€ā”€ server.py # Main MCP server implementation ā”œā”€ā”€ requirements.txt # Python dependencies ā”œā”€ā”€ Dockerfile # Docker configuration ā”œā”€ā”€ 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 ā¤ļø using the Model Context Protocol

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security - not tested
F
license - not found
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quality - not tested

MCP directory API

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