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Weather MCP Server

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

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

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Provides real-time weather information for any city worldwide using the Open-Meteo API, returning current temperature, wind speed, and geographic coordinates through a containerized MCP server.

  1. Features
    1. Quick Start
      1. Using Docker (Recommended)
      2. Building from Source
    2. Usage
      1. Available Tool
      2. Example Response
    3. Configuration
      1. Using with MCP Clients
        1. Claude Desktop
      2. Development
        1. Prerequisites
        2. Local Development
        3. Testing
      3. Project Structure
        1. How It Works
          1. API Credits
            1. Docker Hub
              1. Troubleshooting
                1. Server not responding?
                2. Port already in use?
              2. License
                1. Contributing
                  1. Support

                    MCP directory API

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                    curl -X GET 'https://glama.ai/api/mcp/v1/servers/rajeevchandra/weather-mcp-docker'

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