icon for mcp server

Open Meteo

STDIO

Comprehensive MCP server providing access to Open-Meteo weather APIs for forecasts and climate data

Open-Meteo MCP Server

npm version GitHub release

A comprehensive Model Context Protocol (MCP) server that provides access to Open-Meteo weather APIs for use with Large Language Models.

Features

This MCP server provides complete access to Open-Meteo APIs, including:

Core Weather APIs

  • Weather Forecast (weather_forecast) - 7-day forecasts with hourly and daily resolution
  • Weather Archive (weather_archive) - Historical ERA5 data from 1940 to present
  • Air Quality (air_quality) - PM2.5, PM10, ozone, nitrogen dioxide and other pollutants
  • Marine Weather (marine_weather) - Wave height, wave period, wave direction and sea surface temperature
  • Elevation (elevation) - Digital elevation model data for given coordinates

Specialized Weather Models

  • DWD ICON (dwd_icon_forecast) - German weather service high-resolution model for Europe
  • NOAA GFS (gfs_forecast) - US weather service global model with high-resolution North America data
  • Météo-France (meteofrance_forecast) - French weather service AROME and ARPEGE models
  • ECMWF (ecmwf_forecast) - European Centre for Medium-Range Weather Forecasts
  • JMA (jma_forecast) - Japan Meteorological Agency high-resolution model for Asia
  • MET Norway (metno_forecast) - Norwegian weather service for Nordic countries
  • Environment Canada GEM (gem_forecast) - Canadian weather service model

Advanced Forecasting Tools

  • Flood Forecast (flood_forecast) - River discharge and flood forecasts from GloFAS (Global Flood Awareness System)
  • Seasonal Forecast (seasonal_forecast) - Long-range forecasts up to 9 months ahead
  • Climate Projections (climate_projection) - CMIP6 climate change projections for different warming scenarios
  • Ensemble Forecast (ensemble_forecast) - Multiple model runs showing forecast uncertainty

Installation

Method 1: Using npx (Recommended)

No installation required! The server will run directly via npx.

Method 2: Global Installation via npm

npm install -g open-meteo-mcp-server

Method 3: From Source (Development)

# Clone the repository
git clone https://github.com/cmer81/open-meteo-mcp.git
cd open-meteo-mcp

# Install dependencies
npm install

# Build the project
npm run build

Configuration

Claude Desktop Configuration

Simple Configuration (Recommended)

Add the following configuration to your Claude Desktop config file:

{
  "mcpServers": {
    "open-meteo": {
      "command": "npx",
      "args": ["open-meteo-mcp-server"]
    }
  }
}

Full Configuration (with environment variables)

{
  "mcpServers": {
    "open-meteo": {
      "command": "npx",
      "args": ["open-meteo-mcp-server"],
      "env": {
        "OPEN_METEO_API_URL": "https://api.open-meteo.com",
        "OPEN_METEO_AIR_QUALITY_API_URL": "https://air-quality-api.open-meteo.com",
        "OPEN_METEO_MARINE_API_URL": "https://marine-api.open-meteo.com",
        "OPEN_METEO_ARCHIVE_API_URL": "https://archive-api.open-meteo.com",
        "OPEN_METEO_SEASONAL_API_URL": "https://seasonal-api.open-meteo.com",
        "OPEN_METEO_ENSEMBLE_API_URL": "https://ensemble-api.open-meteo.com"
      }
    }
  }
}

Local Development Configuration

If you're developing locally or installed from source:

{
  "mcpServers": {
    "open-meteo": {
      "command": "node",
      "args": ["/path/to/open-meteo-mcp/dist/index.js"],
      "env": {
        "OPEN_METEO_API_URL": "https://api.open-meteo.com",
        "OPEN_METEO_AIR_QUALITY_API_URL": "https://air-quality-api.open-meteo.com",
        "OPEN_METEO_MARINE_API_URL": "https://marine-api.open-meteo.com",
        "OPEN_METEO_ARCHIVE_API_URL": "https://archive-api.open-meteo.com",
        "OPEN_METEO_SEASONAL_API_URL": "https://seasonal-api.open-meteo.com",
        "OPEN_METEO_ENSEMBLE_API_URL": "https://ensemble-api.open-meteo.com"
      }
    }
  }
}

Custom Instance Configuration

If you're using your own Open-Meteo instance:

{
  "mcpServers": {
    "open-meteo": {
      "command": "npx", 
      "args": ["open-meteo-mcp-server"],
      "env": {
        "OPEN_METEO_API_URL": "https://your-meteo-api.example.com",
        "OPEN_METEO_AIR_QUALITY_API_URL": "https://air-quality-api.example.com",
        "OPEN_METEO_MARINE_API_URL": "https://marine-api.example.com",
        "OPEN_METEO_ARCHIVE_API_URL": "https://archive-api.example.com",
        "OPEN_METEO_SEASONAL_API_URL": "https://seasonal-api.example.com",
        "OPEN_METEO_ENSEMBLE_API_URL": "https://ensemble-api.example.com"
      }
    }
  }
}

Environment Variables

All environment variables are optional and have sensible defaults:

Usage Examples

Basic Weather Forecast

Can you get me the weather forecast for Paris (48.8566, 2.3522) with temperature, humidity, and precipitation for the next 3 days?

Historical Weather Data

What were the temperatures in London during January 2023?

Air Quality Monitoring

What's the current air quality in Beijing with PM2.5 and ozone levels?

Marine Weather

Get me the wave height and sea surface temperature for coordinates 45.0, -125.0 for the next 5 days.

Flood Monitoring

Check the river discharge forecast for coordinates 52.5, 13.4 for the next 30 days.

Climate Projections

Show me temperature projections for New York from 2050 to 2070 using CMIP6 models.

API Parameters

Required Parameters

  • latitude : Latitude in WGS84 coordinate system (-90 to 90)
  • longitude : Longitude in WGS84 coordinate system (-180 to 180)

Hourly Weather Variables

  • temperature_2m : Temperature at 2 meters
  • relative_humidity_2m : Relative humidity
  • precipitation : Precipitation
  • wind_speed_10m : Wind speed at 10 meters
  • wind_direction_10m : Wind direction
  • pressure_msl : Mean sea level pressure
  • cloud_cover : Cloud cover percentage
  • weather_code : Weather condition code
  • visibility : Visibility
  • uv_index : UV index
  • And many more...

Daily Weather Variables

  • temperature_2m_max/min : Maximum/minimum temperatures
  • precipitation_sum : Total precipitation
  • wind_speed_10m_max : Maximum wind speed
  • sunrise/sunset : Sunrise and sunset times
  • weather_code : Weather condition code
  • uv_index_max : Maximum UV index

Air Quality Variables

  • pm10 : PM10 particles
  • pm2_5 : PM2.5 particles
  • carbon_monoxide : Carbon monoxide
  • nitrogen_dioxide : Nitrogen dioxide
  • ozone : Ozone
  • sulphur_dioxide : Sulfur dioxide
  • ammonia : Ammonia
  • dust : Dust particles

Marine Weather Variables

  • wave_height : Wave height
  • wave_direction : Wave direction
  • wave_period : Wave period
  • wind_wave_height : Wind wave height
  • swell_wave_height : Swell wave height
  • sea_surface_temperature : Sea surface temperature

Formatting Options

  • temperature_unit : celsius, fahrenheit
  • wind_speed_unit : kmh, ms, mph, kn
  • precipitation_unit : mm, inch
  • timezone : Europe/Paris, America/New_York, etc.

Time Range Options

  • forecast_days : Number of forecast days (varies by API)
  • past_days : Include past days data
  • start_date / end_date : Date range for historical data (YYYY-MM-DD format)

Development Scripts

# Development with auto-reload
npm run dev

# Build TypeScript
npm run build

# Start production server
npm start

# Run tests
npm test

# Type checking
npm run typecheck

# Linting
npm run lint

Project Structure

src/
├── index.ts          # MCP server entry point
├── client.ts         # HTTP client for Open-Meteo API
├── tools.ts          # MCP tool definitions
└── types.ts          # Zod validation schemas

API Coverage

This server provides access to all major Open-Meteo endpoints:

Weather Data

  • Current weather conditions
  • Hourly forecasts (up to 16 days)
  • Daily forecasts (up to 16 days)
  • Historical weather data (1940-present)

Specialized Models

  • High-resolution regional models (DWD ICON, Météo-France AROME)
  • Global models (NOAA GFS, ECMWF)
  • Regional specialists (JMA for Asia, MET Norway for Nordics)

Environmental Data

  • Air quality forecasts
  • Marine and ocean conditions
  • River discharge and flood warnings
  • Climate change projections

Advanced Features

  • Ensemble forecasts for uncertainty quantification
  • Seasonal forecasts for long-term planning
  • Multiple model comparison
  • Customizable units and timezones

Error Handling

The server provides comprehensive error handling with detailed error messages for:

  • Invalid coordinates
  • Missing required parameters
  • API rate limits
  • Network connectivity issues
  • Invalid date ranges

Performance

  • Efficient HTTP client with connection pooling
  • Request caching for repeated queries
  • Optimized data serialization
  • Minimal memory footprint

API Documentation

For detailed API documentation, refer to the openapi.yml file and the Open-Meteo API documentation.

Contributing

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

Development Setup

  1. Fork the repository
  2. Clone your fork: git clone https://github.com/your-username/open-meteo-mcp.git
  3. Install dependencies: npm install
  4. Create a feature branch: git checkout -b feature/amazing-feature
  5. Make your changes and add tests
  6. Run tests: npm test
  7. Commit your changes: git commit -m 'Add amazing feature'
  8. Push to the branch: git push origin feature/amazing-feature
  9. Open a Pull Request

Releasing

This project uses automated releases via GitHub Actions. To create a new release:

# For a patch release (1.0.0 -> 1.0.1)
npm run release:patch

# For a minor release (1.0.0 -> 1.1.0)
npm run release:minor

# For a major release (1.0.0 -> 2.0.0)
npm run release:major

The GitHub Action will automatically:

  • Run tests and build the project
  • Publish to npm with provenance
  • Create a GitHub release
  • Update version badges

License

MIT

Be the First to Experience MCP Now