# Farmonaut MCP for AI Agents AI Agent Connect > Farmonaut lets you query satellite-based agricultural data directly through your AI agent. You can monitor crop health using indices like NDVI and NDWI, track soil moisture, get weather forecasts, and receive AI-powered crop advisories. It also handles deforestation alerts and all-weather SAR analysis for precision farm management. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_feXVkwBoQ7HbICusf0WF8Hr7rtEYe6aJtynJgguc/ai-agent-connect - **Tags:** satellite-imagery, crop-monitoring, ndvi-analysis, soil-moisture, precision-agriculture, deforestation-detection ## Description Imagine sitting at your desk and asking your AI for a health check on a field three counties away. Instead of opening a complex GIS suite, exporting CSVs, and squinting at satellite imagery, you just ask a question. This Connector connects your AI client to the Farmonaut Satellite API, turning raw orbital data into plain English advice. You can check if your crops are getting enough water, see how the canopy is developing, or get a heads-up on local weather trends. If you're managing a large operation, you can use it to spot land-use changes or get specific recommendations on when to fertilize or harvest. It's a way to bring precision agriculture into a conversational workflow. Because Vinkius manages these connections, you can plug this into your existing setup and start getting real-time updates on your fields without leaving your chat interface. It moves the heavy lifting of data interpretation from your shoulders to the agent. You get the power of multi-satellite monitoring without the steep learning curve of traditional software. Whether you're looking for vegetation indices or all-weather analysis, the information is always just one prompt away. It bridges the gap between complex orbital data and the practical needs of a working farm. You can move from looking at numbers to making decisions in seconds. ## Tools ### add_field Register a new agricultural field by providing its boundaries and crop type. This allows you to expand your monitored acreage instantly. ### get_deforestation_alerts Identify tree cover loss and land-use changes in your area. Use this to stay compliant with conservation rules and monitor land changes. ### get_evi Calculate the Enhanced Vegetation Index for high-biomass crops. This helps you monitor dense canopies that are harder to see with standard indices. ### get_fields List all your monitored fields with their boundaries and crop types. Use this to get a quick overview of your entire farm operation. ### get_ndvi Calculate the Normalized Difference Vegetation Index to monitor plant health. This helps you spot crop stress and growth stages across your acreage. ### get_ndwi Analyze water content in your crops to detect water stress. Use this to plan more efficient irrigation and manage drought conditions. ### get_sar_analysis Access Synthetic Aperture Radar data to see through clouds and at night. This ensures you get consistent monitoring regardless of the weather. ### get_satellite_images Retrieve visual satellite images like true-color and NDVI overlays. Use these to perform a visual inspection of your fields from your desk. ### get_weather Pull historical and current weather data for your fields. This is useful for modeling pest pressure and predicting crop yields. ### get_soil_moisture Get soil moisture levels at various depths. This helps you decide exactly when to turn on the irrigation and avoid overwatering. ### get_crop_advisory Get specific recommendations for irrigation, fertilizer, and pest control. This helps you make data-driven decisions on how to manage your crops. ### get_weather_forecast Retrieve weather forecasts for the next few days or months. Use this to plan your planting schedules and protect against frost. ## Prompt Examples **Prompt:** ``` How is my wheat field doing compared to last month? ``` **Response:** ``` Based on the vegetation index data, your wheat field (ID: W-1823) has shown a 15% increase in vigor over the last 30 days. **Current Status:** - **Average NDVI:** 0.62 - **Growth Stage:** Active tillering - **Trend:** Upward The crop is showing healthy development. Would you like me to check the weather forecast for the next week to plan any upcoming actions? ``` **Prompt:** ``` Should I turn on the irrigation for the cotton field today? ``` **Response:** ``` I've checked the current conditions for your cotton field: - **Soil Moisture (Root Zone):** 42% - **7-Day Forecast:** 70% chance of 20mm rainfall in 48 hours. **Recommendation:** Hold off on irrigation for today. With significant rain expected in two days, you can save water and let the natural rainfall do the work. ``` **Prompt:** ``` What's the plan for the rice fields this week? ``` **Response:** ``` Here is the AI-powered advisory for your rice fields based on current satellite data: | Task | Recommendation | Priority | | :--- | :--- | :--- | | **Irrigation** | Apply 20mm this week | High | | **Fertilizer** | No immediate action needed | Low | | **Pest Control** | Monitor field edges for bollworm | Medium | | **Harvest** | Estimated window in 4 weeks | Low | Would you like me to set a reminder to check the moisture levels again in 3 days? ``` ## Capabilities ### Monitor crop health with vegetation indices Calculate NDVI, NDWI, and EVI to see how your crops are growing and where they might be stressed. ### Get real-time soil moisture levels Check moisture at different depths to know exactly when to turn on the irrigation. ### Receive AI-powered irrigation and fertilizer advice Get specific recommendations on what to do in your fields based on current satellite data. ### Track multi-month weather forecasts Get data on precipitation, temperature, and solar radiation to plan your planting and harvest. ### Detect deforestation and land-use changes Automatically identify tree cover loss and land clearing for conservation and compliance. ### Analyze all-weather imagery using SAR Use Synthetic Aperture Radar to monitor your crops through clouds and at night. ### Retrieve visual satellite images Get true-color and false-color composites for a visual check of your fields from your desk. ## Use Cases ### Irrigation Planning A farm manager asks for soil moisture and weather to decide if they should turn on the pumps today, using get_soil_moisture and get_weather_forecast. ### Crop Scouting An agronomist asks for NDVI trends on a rice field to see if the early vegetative stage is progressing correctly using get_ndvi. ### Conservation Monitoring A team uses get_deforestation_alerts to identify new land clearing in a protected forest zone automatically. ### Harvest Logistics A consultant checks get_weather history and forecasts to suggest the best 7-day window for a cotton harvest. ## Benefits - Stop guessing about water needs by using get_soil_moisture to see exact moisture levels at the root zone. - Spot crop stress weeks earlier by tracking get_ndvi trends across your entire acreage. - Plan your harvest with confidence using get_weather_forecast to see precipitation trends months in advance. - Get actionable steps for your farm with get_crop_advisory instead of just looking at raw data. - Monitor remote land for conservation compliance with get_deforestation_alerts to catch changes instantly. - See through clouds and night cover using get_sar_analysis for consistent monitoring in any weather. ## How It Works The bottom line is you get a dedicated satellite analyst that lives inside your chat window. 1. Subscribe to the Farmonaut MCP on the Vinkius marketplace. 2. Enter your Farmonaut API key into your AI client configuration. 3. Ask your agent to list your fields, check soil moisture, or provide crop health summaries. ## Frequently Asked Questions **Can I use the Farmonaut MCP to monitor my crops from anywhere?** Yes. You can ask your AI agent for updates on any field registered in your Farmonaut account. You'll get real-time health stats and weather info on your phone or laptop. **Does this Connector work if it's cloudy or raining?** Yes, it uses SAR analysis which can see through clouds and at night. This means you don't have to wait for a clear day to get an update on your field's status. **How does the Farmonaut MCP help with irrigation?** It pulls soil moisture data at different depths and compares it with local weather forecasts. Your agent can then tell you exactly when to turn on the water to save costs and resources. **Can I use Farmonaut MCP for something other than farming?** It's primarily for agriculture, but it also includes deforestation alerts. Conservation teams use it to monitor land use changes and tree cover loss in protected areas. **What kind of satellite data does the Farmonaut MCP use?** It connects to several major sources including Sentinel-2, Landsat, and PlanetScope. Your agent can pull different types of imagery like NDVI overlays or true-color photos. **Is it hard to set up the Farmonaut MCP?** Not at all. You just need your Farmonaut API key. Once you add that to your AI client, you can start asking questions about your fields immediately. **Can my AI calculate NDVI for my rice field and show me the crop health trend?** Yes! Use the `get_ndvi` tool with your field ID and date range (e.g., date_from=2025-04-01, date_to=2025-10-31). This returns NDVI values for each satellite overpass from Sentinel-2, Landsat, or PlanetScope, showing vegetation health progression. You can also use `get_crop_advisory` for AI-powered recommendations based on the NDVI trends and current growth stage. **How do I get soil moisture and weather forecast data to plan irrigation?** Use `get_soil_moisture` with your field ID and date range to check current soil moisture levels at root zone depth. Combine with `get_weather_forecast` (forecast_range=7_days or 15_days) to see upcoming precipitation. Together these tools help determine if and when irrigation is needed. For AI-powered irrigation recommendations, use `get_crop_advisory` with advisory_type=irrigation. **Can I monitor my crops during cloudy season when optical satellites cannot see?** Yes! Use the `get_sar_analysis` tool which uses Synthetic Aperture Radar (SAR) data that penetrates clouds and works day/night. SAR provides backscatter values, soil moisture estimates, and crop structure information regardless of weather conditions. This is essential for monitoring in tropical regions, monsoon seasons, or any cloudy conditions where optical satellites like Sentinel-2 cannot provide clear imagery.