nandarizkika/mcp-weather-server

MCP Weather Server

A Model Context Protocol (MCP) server that provides weather information and forecasts using the OpenWeatherMap API.

Features

• 🌤️ Get current weather conditions for any city
• 📅 Get 5-day weather forecasts
• 🌡️ Temperature, humidity, wind speed, and atmospheric pressure
• ☁️ Weather descriptions and conditions
• 🌍 Works with cities worldwide

Tools Available

get_weather

Get current weather conditions for a specified location.

Parameters:

• location (required): City name (e.g., "London", "Jakarta", "New York")

Example: "What's the weather in Jakarta?"

get_weather_forecast

Get a 5-day weather forecast for a specified location.

Parameters:

• location (required): City name
• days (optional): Number of days to forecast (1-5, default: 5)

Example: "What's the 5-day forecast for London?"

Prerequisites

• Python 3.7+
• OpenWeatherMap API key (free tier available)
• Claude Desktop application

Installation

1. Clone the repository:

   git clone https://github.com/your-username/mcp-weather-server.git
   cd mcp-weather-server
   

2. Create a virtual environment:

   python -m venv .venv
   .venv\Scripts\activate  # On Windows
   # or
   source .venv/bin/activate  # On macOS/Linux
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Get an API key:

   • Sign up at OpenWeatherMap
   • Get your free API key

5. Set up environment variables:

   • Copy .env.example to .env
   • Add your API key to the .env file:

     OPENWEATHER_API_KEY=your_api_key_here
     

Configuration

Claude Desktop Setup

1. Locate your Claude Desktop config file:

   • Windows: %APPDATA%\Claude\claude_desktop_config.json
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add the weather server configuration:

   {
     "mcpServers": {
       "weather": {
         "command": "path/to/your/project/.venv/Scripts/python.exe",
         "args": ["path/to/your/project/minimal_weather_server.py"],
         "env": {
           "OPENWEATHER_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

3. Restart Claude Desktop

Testing

Test the server independently:

python test_minimal.py

Or test specific functionality:

python debug_server.py

Usage Examples

Once configured with Claude Desktop, you can ask natural language questions:

• "What's the weather in Jakarta?"
• "Get me the current weather for London"
• "What's the 5-day forecast for Tokyo?"
• "How's the weather in Singapore today?"
• "Show me the weather forecast for Bandung"

Project Structure

mcp-weather-server/
├── minimal_weather_server.py    # Main MCP server
├── simple_weather_server.py     # Alternative simple server
├── weather_server.py           # Original MCP library version
├── test_minimal.py             # Test script
├── debug_server.py             # Debug utilities
├── requirements.txt            # Python dependencies
├── .env.example               # Environment template
├── .env                      # Environment variables (not in git)
├── .gitignore               # Git ignore rules
└── README.md               # This file

API Reference

This server uses the OpenWeatherMap API to fetch weather data.

Troubleshooting

Common Issues

1. "API key not found" error:

   • Ensure your .env file contains OPENWEATHER_API_KEY=your_actual_key
   • Verify the API key is valid and active

2. "Server disconnected" in Claude:

   • Check that file paths in the config are correct
   • Ensure Python executable path is accurate
   • Restart Claude Desktop after config changes

3. "Location not found" error:

   • Try using different city name variations
   • Include country name for ambiguous cities (e.g., "London, UK")

Debug Steps

1. Test the server independently:

   python test_minimal.py
   

2. Check server logs in Claude Desktop

3. Verify API key permissions at OpenWeatherMap

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the file for details.

Acknowledgments

• OpenWeatherMap for providing the weather API
• Anthropic for Claude and the MCP specification
• MCP community for protocol documentation and examples

Support

If you encounter any issues or have questions:

1. Check the troubleshooting section
2. Review OpenWeatherMap API docs
3. Open an issue on GitHub

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