# EOSDA Agriculture Satellite Data MCP for AI Agents AI Agent Connect > EOSDA Agriculture Satellite Data gives your AI agent direct access to high-resolution satellite imagery and remote sensing data for precision farming. It lets you pull vegetation indices like NDVI, monitor soil moisture, and track crop health across global datasets. Instead of manual data scraping, your agent can analyze Sentinel and Landsat missions to help you optimize fertilizer use, audit land health, and monitor large-scale farming operations in real time. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/ai-agent-connect - **Tags:** satellite-imagery, precision-agriculture, ndvi, remote-sensing, crop-health, soil-moisture ## Description Imagine you're managing thousands of acres and need to know which sections of a field are under stress before the damage becomes visible to the naked eye. Instead of manually downloading and processing massive satellite files, you can just ask your agent to check the latest health data. This Connector bridges the gap between raw space data and actionable farming insights. It lets your agent pull specific imagery from Sentinel and Landsat missions based on your exact location and timeframe. From there, it can run calculations for things like biomass or vegetation health and report back on where you need to focus your attention. If you're looking for a way to centralize these capabilities, Vinkius makes it easy to plug this into your existing setup. You get a dedicated remote sensing specialist that understands your fields, helps you audit land use, and provides the data you need to make better calls on irrigation and fertilization without the headache of manual data management. ## Tools ### get_task_result Retrieve the final results of a vegetation index calculation. It provides the processed data and a link to download the results. ### search_multi_dataset Search across multiple satellite sources at once. This is useful for finding the best available imagery from different missions. ### search_dataset Find specific satellite scenes by date and area. It returns scene IDs and cloud cover data for your chosen location. ### create_vegetation_task Start a calculation for indices like NDVI or EVI. It creates a task to process the specific health data for your area. ### get_available_datasets List all satellite datasets available for use. Use this to see which missions you can search for imagery. ### get_available_indices See which vegetation indices are currently supported. This helps you choose the right metric for your specific crop needs. ## Prompt Examples **Prompt:** ``` Can you find some Sentinel-2 images for my farm from last month? ``` **Response:** ``` I searched the Sentinel-2 dataset for your farm's area over the last 30 days. I found 4 scenes with low cloud cover. Would you like the download links for these? ``` **Prompt:** ``` Calculate the NDVI for this area: [GeoJSON] ``` **Response:** ``` I've started the NDVI calculation for that area. The task ID is `task_987`. I'm monitoring the progress and will let you know as soon as the health index is ready for you. ``` **Prompt:** ``` What's the resolution of the Landsat 8 data? ``` **Response:** ``` Landsat 8 typically provides a spatial resolution of 30 meters for most bands. It has a revisit time of about 16 days, which is great for regular monitoring. ``` ## Capabilities ### Pull satellite imagery Get high-resolution scenes for specific dates and locations from Sentinel and Landsat. ### Calculate health indices Trigger tasks to calculate NDVI, EVI, and other vegetation metrics for your fields. ### Track soil moisture Monitor moisture trends over time to optimize your irrigation schedules. ### View mission specs Access technical details like resolution and revisit times for different satellite datasets. ### Analyze specific areas Input GeoJSON coordinates to get localized intelligence for specific farm plots. ## Use Cases ### Identifying dry patches A farm manager needs to know which 50-acre plot has the lowest moisture. They ask the agent to check the latest trends for a specific GeoJSON area. ### Comparing fertilizer results An agronomist wants to see if a new fertilizer is working. They ask the agent to calculate NDVI for three different fields and compare the results. ### Historical research A researcher needs historical data for a study. They ask the agent to find all Sentinel-2 images for a region over the last three years. ### Land use auditing A sustainability officer needs to report on land use. They ask the agent to pull vegetation indices for a large forest area to check for changes. ## Benefits - Get precise NDVI and EVI data for every field without manual processing. Using create_vegetation_task lets your agent handle the heavy lifting of calculating biomass. - Identify stress zones quickly by searching multiple datasets at once. search_multi_dataset ensures you always find the clearest imagery regardless of cloud cover. - Save hours on data gathering by using search_dataset to find specific scenes. Your agent can filter by date and area to find exactly what you need in seconds. - Access technical specs for Landsat and Sentinel missions instantly. get_available_datasets helps you understand revisit times and resolution before you start a project. - Automate your reporting by pulling processed results directly. get_task_result gives you the final data and download links without you having to click through a dashboard. ## How It Works The bottom line is you get instant access to professional-grade remote sensing data without having to handle the complex data processing yourself. 1. Connect your EOSDA API key to the Connector. 2. Describe the area and date range you want to analyze to your agent. 3. Get a list of available satellite scenes or processed health results. ## Frequently Asked Questions **Can the EOSDA Agriculture Satellite Data MCP show me my crop health?** Yes, it pulls vegetation indices like NDVI which directly show how healthy your crops are. Your agent can summarize these scores to highlight which areas need more attention. **Does this Connector work for all types of farming?** It works for any land where satellite imagery is useful, including row crops, orchards, and large-scale pasture management. It's great for any precision agriculture setup. **Can I search for specific dates and locations?** Yes, you can ask your agent to find imagery for a specific farm or region within a date range. It will filter through the available datasets to find the best matches for you. **How do I get the actual images from the satellite?** The Connector provides download URLs for the scenes it finds. Your agent can give you these links so you can view the high-resolution imagery directly. **Is it possible to check multiple satellites at once?** Yes, it can search across Sentinel-2 and Landsat 8 simultaneously. This is helpful for finding the clearest images when one satellite might be blocked by clouds. **What kind of vegetation indices can I get?** It supports several critical indices like NDVI for health and EVI for biomass. You can choose the one that best fits your specific crop type. **What satellites are covered by this integration?** The server provides access to Sentinel-2 (high resolution), Sentinel-1 (radar), Landsat 8 and 9 (historical and medium res), and MODIS (high temporal resolution). **How do I calculate the NDVI for a specific field?** Use the `create_vegetation_task` tool. You need to provide the `index_type` as 'NDVI', the `dataset_id` (e.g., 'sentinel2'), and the `aoi` (Area of Interest) coordinates in GeoJSON format. **Is the area of interest (AOI) required for searches?** For general searches, it is optional but highly recommended to narrow down results. For index calculation tasks (`create_vegetation_task`), the AOI is mandatory to define the target area.