Weather MCP Server

Weather MCP Server

A production-ready Model Context Protocol (MCP) server that provides real-time weather information to LLM clients using the Open-Meteo API. http://ec2-35-180-66-133.eu-west-3.compute.amazonaws.com:3000/weather-dashboard.html

Features

• Current Weather: Get real-time weather conditions including temperature, humidity, wind, and more
• Weather Forecasts: Up to 16-day forecasts with detailed daily breakdowns
• Weather Alerts: Automated detection of severe weather conditions
• 26+ Global Cities: Pre-configured major cities across all continents
• Dual Transport: Supports both STDIO (local) and HTTP (production) transports
• Docker Ready: Production-grade containerization with health checks
• Type Safe: Full type hints and validation
• No API Key Required: Uses free Open-Meteo API

Quick Start

Local Development (STDIO)

1. Install dependencies:

pip install -r requirements.txt

1. Run the server:

python server.py --stdio

1. Configure Claude Desktop:

Edit your Claude Desktop configuration file and add: ``json { "mcpServers": { "weather": { "command": "python", "args": [ "/absolute/path/to/weather_mcp_server/server.py", "--stdio" ], "env": { "MCP_TRANSPORT": "stdio", "PYTHONUNBUFFERED": "1" } } } } ``

Production Deployment (Docker)

1. Build and run with Docker Compose:

docker-compose up -d

1. Check health:

curl http://localhost:3000/health

1. Access MCP endpoint:

curl http://localhost:3000/mcp

Available Tools

get_current_weather(city: str)

Get current weather conditions for a city.

Example: ``python { "city": "london", "temperature": {"value": 15.2, "unit": "°C", "feels_like": 13.8}, "conditions": "Partly cloudy", "humidity": {"value": 72, "unit": "%"}, "wind": {"speed": 12.5, "speed_unit": "km/h", "direction": 245} } ``

get_forecast(city: str, days: int = 7)

Get weather forecast for 1-16 days.

Parameters:

• city: City name (e.g., "paris", "new_york")
• days: Number of days (1-16, default: 7)

Example: ``python { "city": "Paris", "forecast_days": 7, "forecast": [ { "date": "2025-01-20", "conditions": "Partly cloudy", "temperature": {"max": 18.5, "min": 12.3, "unit": "°C"}, "precipitation": {"total": 2.5, "probability": 30, "unit": "mm"} } ] } ``

get_weather_alerts(city: str)

Get weather alerts and warnings for a city.

Example: ``python { "city": "Miami", "alert_count": 2, "alerts": [ { "type": "High Wind Warning", "severity": "moderate", "description": "Strong winds detected: 55 km/h" } ] } ``

Available Resources

weather://cities/supported

Returns list of all supported cities with coordinates.

weather://api/info

Returns information about the Open-Meteo API and its capabilities.

health://status

Health check endpoint for monitoring.

Supported Cities

The server includes 26 major cities across 6 continents:

North America: New York, Los Angeles, Chicago, San Francisco, Toronto, Vancouver, Mexico City

Europe: London, Paris, Berlin, Madrid, Rome, Amsterdam

Asia: Tokyo, Beijing, Shanghai, Singapore, Seoul, Mumbai, Dubai

Oceania: Sydney, Melbourne, Auckland

South America: São Paulo, Buenos Aires, Rio de Janeiro

Africa: Cairo, Cape Town

Configuration

Environment Variables

# Server Configuration
MCP_TRANSPORT=http          # stdio or http
MCP_HOST=0.0.0.0           # Bind address
MCP_PORT=3000              # Server port
MCP_PATH=/mcp              # HTTP endpoint path

# Python Configuration
PYTHONUNBUFFERED=1
PYTHONDONTWRITEBYTECODE=1

# Logging
LOG_LEVEL=INFO             # DEBUG, INFO, WARNING, ERROR, CRITICAL

Docker Configuration

The docker-compose.yml includes:

• Resource limits (1 CPU, 512MB RAM)
• Health checks every 30 seconds
• Automatic restart policy
• Security hardening (read-only filesystem, non-root user)
• JSON logging with rotation

Architecture

weather_mcp_server/
├── weather_mcp/
│   ├── __init__.py       # Package initialization
│   ├── server.py         # MCP server with tools & resources
│   ├── api.py            # Open-Meteo API client
│   └── cities.py         # City database
├── tests/
│   └── test_weather.py   # Comprehensive test suite
├── server.py             # Main entry point
├── Dockerfile            # Multi-stage production build
├── docker-compose.yml    # Orchestration with health checks
├── requirements.txt      # Python dependencies
├── nginx.conf            # Optional reverse proxy config
└── README.md             # This file

Development

Running Tests

# Install dev dependencies
pip install pytest pytest-asyncio

# Run tests
pytest tests/ -v

Adding New Cities

Edit weather_mcp/cities.py:

SUPPORTED_CITIES = {
    "your_city": {
        "lat": 40.7128,
        "lon": -74.0060,
        "name": "Your City",
        "country": "Country",
        "timezone": "America/New_York"
    }
}

Custom Logging

For STDIO transport, logs go to stderr. For HTTP transport, logs are JSON formatted to stdout.

API Reference

Open-Meteo API

• Base URL: https://api.open-meteo.com/v1/forecast
• Documentation: https://open-meteo.com/en/docs
• Rate Limits: 10,000 requests/day (free tier)
• No API key required

Data Sources

Open-Meteo aggregates data from multiple weather services:

• NOAA GFS & HRRR (US)
• DWD ICON (Germany)
• Météo-France ARPEGE & AROME (France)

Deployment Options

1. Local Development

python server.py --stdio

2. Docker (Single Container)

docker build -t weather-mcp .
docker run -p 3000:3000 weather-mcp

3. Docker Compose (Recommended)

docker-compose up -d

4. Production with Nginx

docker-compose --profile production up -d

Monitoring

Health Check

curl http://localhost:3000/health

Docker Health Status

docker ps
# Look for "(healthy)" status

Logs

# Docker logs
docker logs weather-mcp-server

# Follow logs
docker logs -f weather-mcp-server

Security Features

• Non-root user execution
• Read-only root filesystem
• No new privileges allowed
• Resource limits enforced
• Health monitoring
• No hardcoded credentials
• Multi-stage Docker build
• Security updates applied

Troubleshooting

Issue: "City not supported"

Solution: Check available cities with the weather://cities/supported resource or see the list above.

Issue: Container not healthy

Solution: Check logs with docker logs weather-mcp-server and ensure port 3000 is available.

Issue: API timeout

Solution: Check internet connectivity and Open-Meteo API status at https://open-meteo.com

Issue: STDIO not working with Claude Desktop

Solution: Ensure absolute path is used in config and Python is in PATH.

Performance

• Average response time: < 500ms
• Memory footprint: ~100MB
• CPU usage: < 5% under normal load
• Concurrent requests: Up to 100 (configurable)

License

MIT License - Feel free to use in your own projects

Contributing

Contributions welcome! Areas for improvement:

• Additional cities
• More weather metrics
• Caching layer
• Historical weather data
• Weather maps/visualizations

Support

For issues or questions:

1. Check the troubleshooting section
2. Review Open-Meteo documentation
3. Open an issue on the repository

Changelog

Version 1.0.0 (2025-01-19)

• Initial release
• Current weather, forecasts, and alerts
• 26 supported cities
• Docker containerization
• STDIO and HTTP transports
• Comprehensive test suite