OpenWeather Agro MCP, Ready to Go

It provides evapotranspiration rates which show exactly how much water your crops are using. Your AI agent can use this to suggest specific irrigation schedules based on actual plant needs and current weather.

Yes. Since it connects to your AI client, you can ask for crop health scores or NDVI trends via any compatible app, making it easy to check your fields while on the move.

It does. You can ask your agent about the frost risk for your specific coordinates. It returns risk levels like high or critical, along with predicted timing and suggested protection measures.

Yes, the MCP can pull historical NDVI data. This lets you compare this year's vegetation health against past years to see how your land is performing over the long term.

It fetches real-time conditions, 5-day forecasts, and historical weather. This helps with everything from daily spray timing to long-term harvest planning.

It's great for that because it calculates Growing Degree Days. This tells you how much heat your crops have accumulated, which is the standard way to predict development stages and harvest dates.

Yes! Use the get_ndvi tool with your field coordinates and a date. NDVI values range from -1 to 1, with 0.6-0.9 indicating healthy dense vegetation and 0.2-0.5 indicating stressed or sparse vegetation. For trend analysis over a growing season, use get_historical_ndvi with a date range. The data comes from satellite imagery processed by OpenWeather algorithms.

Use the get_evapotranspiration tool with your field coordinates and date. ET values show how much water your crops are losing through transpiration and soil evaporation. Compare ET with rainfall (from get_current_weather or get_weather_forecast) to determine irrigation deficits. If ET exceeds precipitation, irrigation is needed to replace the difference. For precise scheduling, track daily ET over time and accumulate deficits.

Yes! Use the get_frost_risk tool with your field coordinates. It returns frost risk levels (low, moderate, high, critical) based on temperature forecasts and local conditions. For proactive planning, combine with get_weather_forecast to monitor approaching cold fronts. High or critical frost risk indicates you should activate frost protection measures like irrigation, wind machines, or covers.