# OpenWeather Agro MCP > OpenWeather Agro provides instant access to advanced agricultural data, including NDVI, EVI, soil temperature, and evapotranspiration rates from satellite imagery. Your AI client uses this MCP to analyze crop health scores, predict frost danger, and calculate precise water needs for targeted irrigation planning. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Tags:** ndvi, satellite-imagery, soil-moisture, precision-farming, crop-monitoring, evapotranspiration ## Description Connecting OpenWeather Agro lets your agent act like a full-time agronomist with its own dashboard. You stop manually checking weather APIs or interpreting complex satellite maps in different programs. Instead, you talk to your AI client and get actionable data immediately. Need to know if the soil is warm enough for seeds? Just ask. Want to compare this year's crop health against last season's trends? It handles that historical analysis too. Everything from calculating Growing Degree Days (GDD) to assessing frost risk happens through natural conversation. When you connect OpenWeather Agro via Vinkius, your AI client gets a single source of truth for every piece of data required in precision farming, letting you make decisions faster than ever before. ## Tools ### get_crop_health_index Calculates a simple overall crop condition score for quick field status checks. ### get_current_weather Retrieves real-time weather data needed for immediate farming decisions like spraying or harvesting. ### get_evi Provides an enhanced vegetation index ideal for monitoring dense canopies and high-biomass crops. ### get_soil_temperature Checks the thermal conditions of the soil, which is vital for seed germination timing and root activity assessment. ### get_weather_forecast Delivers a multi-day weather forecast to help plan planting schedules or anticipate harvest windows. ### get_evapotranspiration Calculates the rate of crop water use, ensuring precision irrigation scheduling and efficient water management. ### get_frost_risk Assesses frost danger levels and predicts timing, recommending protection measures for vulnerable crops. ### get_growing_degree_days Tracks the accumulated heat units necessary to predict crop development stages accurately. ### get_historical_ndvi Retrieves time-series NDVI data, allowing you to compare vegetation health across entire growing seasons. ### get_ndvi Gets a specific Normalized Difference Vegetation Index value for immediate crop health assessment on any given date. ### get_satellite_imagery Accesses imagery metadata and URLs for visual field checks, boundary verification, or damage detection. ### get_weather_history Pulls past weather data to compare current conditions with historical patterns for yield analysis. ## Prompt Examples **Prompt:** ``` What is the NDVI for my corn field at coordinates 41.8780, -93.0977 on April 1st? ``` **Response:** ``` Fetching NDVI data for Iowa corn field (41.8780, -93.0977) on 2026-04-01... NDVI value: 0.28 (low vegetation cover, expected for early season). This indicates bare soil or very early emergence stage. Historical comparison: Same date last year was 0.25, so emergence is slightly ahead. Recommendation: Continue monitoring weekly as canopy develops. Target NDVI for mid-season corn is 0.75-0.85. Would you like historical NDVI trends to compare this season's progress? ``` **Prompt:** ``` Calculate the growing degree days for my wheat field from March 1 to today. ``` **Response:** ``` Calculating Growing Degree Days (GDD) for wheat field (base 0C)... Period: March 1 to April 7, 2026. Total accumulated GDD: 285. Wheat development stage: Tillering to early stem extension. Average daily GDD: 7.5. Comparison to normal: 12% above average for this period. At this rate, heading stage expected around May 15. Recommendation: Apply nitrogen top-dressing now to support stem development. Monitor for early pest emergence due to warmer than normal accumulation. ``` **Prompt:** ``` Is there frost risk for my vineyard tonight? I need to know if I should turn on the wind machines. ``` **Response:** ``` Checking frost risk for your vineyard location... FROST RISK: HIGH tonight. Predicted low temperature: -1.8°C (28.8°F) around 5:00 AM. Soil temperature: 4.2°C. Wind speed: 2 km/h (calm conditions increase frost risk). Dew point: -3.1°C. Recommendation: Activate frost protection measures immediately. Wind machines should be turned on by 3:00 AM (before temperature drops below critical threshold). If available, supplement with irrigation for additional 1-2°C protection. Monitor conditions hourly through dawn. ``` ## Capabilities ### Assess overall crop health The MCP calculates a simple score that gives an immediate overview of how healthy the field is. ### Monitor plant vigor and canopy density It provides enhanced vegetation indices (NDVI and EVI) to track specific aspects of crop growth, even in dense areas. ### Determine water requirements The system calculates evapotranspiration rates, telling you exactly how much water the crops are using right now. ### Forecast environmental risks You can check for signs of frost danger or track accumulated heat units (GDD) to predict development stages. ### Get historical data trends The MCP retrieves past weather and vegetation indices, allowing you to compare current performance against previous years. ## Use Cases ### Determining optimal spray timing A farm manager asks, 'Should I spray pesticides this afternoon?' The agent checks `get_current_weather` and reviews the 5-day forecast using `get_weather_forecast`. It responds that conditions are ideal for application within the next four hours. ### Comparing season performance An agronomist needs to advise a client on long-term health. They use `get_historical_ndvi` to generate a trend line, showing that while this year's early growth was slow, the latest numbers indicate recovery. ### Planning for wet vs. dry cycles A consultant needs to assess drought impact. They pull `get_evapotranspiration` data and compare it against historical rainfall patterns using `get_weather_history`, generating a precise risk report. ### Assessing planting readiness Before sowing, the agent checks both `get_soil_temperature` and `get_frost_risk`. It advises that while temperatures are adequate for germination, there is still moderate frost danger overnight, requiring a delay. ## Benefits - You get immediate crop status checks by using the `get_crop_health_index` tool, replacing generalized guesswork with a single, clear metric for stakeholders. - Instead of guessing when to water or spray, use `get_evapotranspiration` to calculate exact water loss rates, ensuring you only irrigate what's necessary for maximum efficiency. - Planning is safer and smarter. The MCP lets you check `get_frost_risk` instantly, giving you the warning window needed to activate protective measures before damage occurs. - You can track development stages accurately by running `get_growing_degree_days`, which tells you exactly when a crop will hit its next milestone, like heading or tillering. - Field monitoring becomes visual. Use `get_satellite_imagery` to pull up the latest view of your property without needing to log into three different mapping portals. ## How It Works The bottom line is that your AI acts as a dedicated field analyst, synthesizing complex data into simple, actionable answers. 1. Subscribe to this MCP on Vinkius and input your OpenWeather API key. 2. Direct your AI client to the connected OpenWeather Agro tools in a natural conversation. 3. The agent calls the relevant function, processes the satellite and weather data, and gives you an immediate recommendation. ## Frequently Asked Questions **How do I check my field's overall health score using OpenWeather Agro MCP?** You use the `get_crop_health_index` tool. This function processes multiple data points to give you a single, easy-to-understand metric for your whole field. **Can I compare this year's growth to last year using OpenWeather Agro MCP?** Yes, use `get_historical_ndvi`. This tool pulls time-series data, letting you graph and compare vegetation health across entire growing seasons. **What is the difference between NDVI and EVI with OpenWeather Agro MCP?** EVI (`get_evi`) is better for very dense crops or tropical areas because it's less affected by atmospheric conditions than standard NDVI, which you get using `get_ndvi`. **How far ahead can I plan with OpenWeather Agro MCP?** You use `get_weather_forecast`. This provides a multi-day outlook perfect for planning planting or harvest windows up to five days out. **Does OpenWeather Agro MCP help me know when to plant seeds?** Yes, you check two tools: `get_soil_temperature` and `get_frost_risk`. The agent advises on planting only when both conditions are safe and optimal.