MCP Weather Climate
13 tools for developers and data analysts: geocode_location, current_weather, hourly/daily forecasts up to 16 days, historical_weather since 1940, climate_normals, air_quality, marine_forecast, pollen_forecast, flood_risk, solar_radiation_forecast, severe_weather_outlook, and agricultural_conditions—worldwide, no API key. Geocode any place to lat/lon, fetch real-time conditions with UV index and AQI, assess flood risks or solar irradiance on tilted panels, and retrieve 80+ years of historical data. Build travel apps, agrotech systems, or climate research workflows with precise meteorology and geolocation data.
How to pay
Subscribe
$15/month
Predictable monthly cost with included usage. Best for steady, high-volume traffic.
- Unlimited tools within plan limits
- One API key, billed once a month
- Cancel any time
Overview
MCP Weather Climate delivers 13 tools for instant access to global weather, climate, and environmental data via Open-Meteo—no API key or setup required. Developers can geocode any city with geocode_location, pull real-time conditions using current_weather, and generate 16-day forecasts with hourly_forecast or daily_forecast. Historical records back to 1940 through historical_weather support retrospective analysis for any latitude and longitude.
Key Capabilities
Core tools provide current_weather details like temperature, humidity, wind speed, UV index, and precipitation, alongside daily_forecast summaries of min/max temperatures, sunrise/sunset, and precipitation totals. Specialized functions include flood_risk for 210-day river discharge forecasts via GloFAS v4, solar_radiation_forecast with tilted-panel irradiance (GTI) for energy planning, air_quality for PM2.5/PM10 and AQI up to 7 days, and agricultural_conditions for soil moisture at four depths plus ET₀ evapotranspiration. Additional options cover marine_forecast wave heights, European pollen_forecast, severe_weather_outlook risk scores from CAPE and gusts, and climate_normals for 1991–2020 monthly averages.
Use Cases
Travel developers can chain geocode_location with daily_forecast to advise on UV index and rain probability for trip itineraries. Agricultural teams use agricultural_conditions and historical_weather to schedule irrigation based on soil moisture trends since 1940. Energy analysts compute solar yields via solar_radiation_forecast tilt/azimuth parameters, while logistics managers track flood_risk peaks and marine_forecast swells for safe routing.
Who This Is For
Developers building AI agents for travel apps, agriculture platforms, or renewable energy tools. Data analysts performing climate research, flood modeling, or air quality monitoring. Logistics and insurance professionals evaluating river discharges, marine conditions, or severe weather risks.