Open-Meteo Full Access MCP. Analyze climate risk, history, and forecast in one call.

Listen up. If you need environmental data—anything from a quick weather check to modeling climate shifts 80 years out—you don't want to stitch together half a dozen different APIs. This Mega-Server, Open-Meteo Full Access, gives your agent one zero-auth connection that covers it all.

Setting Up the Analysis

You gotta start somewhere, right? First, you use search_location to find and validate any city or place name globally. That tool spits out precise coordinates—latitude and longitude—which are mandatory for every other tool here. Once you've got those coords, you can begin building your analysis.

Real-Time Status Checks

For what’s happening right now, get_current_weather fetches the most recent conditions at any coordinate pair. If you need a look ahead, get_weather_forecast generates standard forecasts that cover up to the next 16 days. For air quality, you've got two options: first, use get_air_quality to pull concentrations for specific pollutants like PM10, Ozone, NO2, SO2, and CO; second, run get_aqi_index which calculates the Air Quality Index using both US and European standards.

Don't forget about allergens—you can predict pollen levels with get_pollen_forecast. To map out the physical environment itself, get_elevation determines the terrain height at any spot, giving you up to 90m of precision.

Deep Dive: Historical and Trend Analysis

When you're trying to spot a trend, you need data from years ago. You can pull daily aggregated weather records using get_historical_daily, which covers large time ranges. If you need the deep cuts, get_historical_weather accesses comprehensive historical archives spanning 84 years—all the way back to 1940. This gives your agent a massive dataset for any kind of long-term trend analysis.

Modeling Future Risk and Climate Shifts

For anything involving risk or future planning, this server steps up its game. You can run get_climate_projection, which retrieves IPCC climate projections spanning decades, from 2015 straight through to 2100. If you're worried about rising water levels, get_flood_forecast predicts river discharge and flood risk up to seven months out. For more reliable modeling, you can use get_ensemble_forecast, which generates a probabilistic forecast by running multiple climate models against each other.

You also have access to get_river_discharge, which provides detailed 5km resolution data on water flow—this is what powers the flood modeling.

Specialized Environmental Data Sets

If your job involves water or open terrain, these tools are for you. For marine applications, get_marine_forecast delivers detailed forecasts including wave height and swell information at a 5km resolution. You can track the movement of deep-sea systems using get_ocean_currents, which pulls current data alongside sea surface temperature measurements. Finally, if you need to know how much water is moving through an area, get_bulk_river_discharge provides detailed river discharge data at 5km resolution.

You'll use all these tools together for everything from modeling coastal erosion to tracking pollution plumes.