Windy MCP Server
About
Allows MCP access to the Windy API (currently support for point forecast only)
Details
- Author
- coffeeandcloud
- Categories
- Database, Other, API
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Setup
Install Windy MCP Server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/coffeeandcloud/windy-mcp-server
Follow the installation instructions in the repository README, then restart your MCP client.
UnofficialMCP server for theWindy Point Forecast API. This project is not affiliated with or endorsed by Windy.com.
An MCP (Model Context Protocol) server that exposes weather, ocean wave, and air quality forecasts to AI assistants via the Windy Point Forecast API.
Fetch atmospheric weather data for any coordinates.
- Parameters:temperature, dewpoint, relative humidity, pressure, geopotential height, precipitation (total/snow/convective), wind, wind gusts, cloud cover (low/mid/high), cloud base, visibility, CAPE, precipitation type, weather warnings
- Models:GFS, ICON, ICON-EU, ICON-D2, AROME (France, Antilles, Réunion), NAM (CONUS/Hawaii/Alaska), HRRR (CONUS/Alaska), HRDPS
- Pressure levels:surface through 150 hPa (14 levels)
- Temperature units:Celsius or Kelvin
Fetch ocean wave data for any coastal or open-water coordinates.
- Parameters:significant wave height, wind waves, wave power, swell 1 & 2
- Models:GFS Wave, ICON Wave, ICON-EU Wave, RDWPS (Canada)
Fetch air quality and pollen forecasts for any location.
- Parameters:AQI, SO₂, dust, CO, O₃, NO₂, PM10, PM2.5, pollen (alder, birch, grass, mugwort, olive, ragweed)
- Models:CAMS (global), CAMS-EU (higher-resolution European data)
Add to your MCP client config (e.g.claude_desktop_config.json):
{ "mcpServers": { "windy": { "command": "uvx", "args": ["windy-mcp-server"], "env": { "WINDY_API_KEY": "your_api_key_here" } } } }
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