EOSDA MCP, Ready to Go
Use the EOSDA MCP with Claude or Cursor to monitor crop health, soil moisture, and weather data for precision agriculture.
No credit card required. Experience the power of this integration risk-free.
Monitor crop health and soil moisture using satellite data.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the EOSDA MCP Server?
Average time for the server to become ready for requests over the last 13 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with EOSDA MCP: 12 Tools for Precision Agriculture
Get satellite imagery, soil moisture data, and weather forecasts for your farm in one place.
Get ndmi timeseries
Get NDMI values over time to monitor crop water stress and irrigation needs.
Create field
Register a new field for satellite monitoring by providing its boundary and crop type.
Get evi timeseries
Retrieve EVI data to monitor dense canopies and high-biomass tropical crops.
Get fields
List all fields in your account including their boundaries, areas, and current growth stages.
Get ndvi timeseries
Get NDVI trends to track overall vegetation health and growth curves across a season.
Render index map
Create a visual map of a field with color-coded vegetation index values for reports.
Get satellite imagery
Download raw imagery from sources like Sentinel-2 or Landsat for specific dates.
Get soil moisture
Check soil moisture at different depths to optimize irrigation timing.
Get vegetation index
Calculate specific indices like NDRE or MSAVI to assess different crop health markers.
Get weather data
Pull historical weather parameters like temperature and solar radiation dating back to 1979.
Get weather forecast
Get 15-day to 7-month weather forecasts for long-term agricultural planning.
Get zoning map
Generate production and health zoning maps for variable rate application planning.
One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.
You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
EOSDA MCP: Stop Guessing About Crop Health and Soil Moisture
This is for the farm manager who needs to see what is happening across hundreds of acres without driving every fence line, or the agronomist who needs to prove why a specific field needs more intervention.
Farm Manager
Plans irrigation and fertilization schedules based on real-time moisture and growth data.
Agronomist
Identifies crop stress early and creates evidence-based reports for clients.
AgriTech Developer
Integrates satellite data into custom farm management platforms for end users.
Frequently Asked Questions
Can I use the EOSDA MCP to track my crops from space? +
Yes, this MCP connects your AI agent to satellite data so you can monitor crop health, growth trends, and vegetation indices for your entire farm without leaving your desk.
How does the EOSDA MCP help with irrigation? +
It pulls real-time soil moisture data at different depths and combines it with 15-day weather forecasts to help you decide exactly when to water your fields.
Can the EOSDA MCP show me historical weather? +
Yes, the MCP can access over 20 years of historical weather data, including temperature, rainfall, and solar radiation, to help with long-term planning.
Can I add my own fields to the EOSDA MCP? +
You can register new fields by providing their boundaries and crop types. The AI agent will then include them in your satellite monitoring and analysis.
Does the EOSDA MCP help with precision farming? +
It is built for precision agriculture. It can generate zoning maps that identify high and low productivity areas for variable rate application of water and fertilizer.
Can I get visual maps of my field health? +
Yes, you can ask your agent to render visual maps of your fields with custom color-coded indices to use in reports or for stakeholder meetings.
Can my AI calculate NDVI for my corn field and show me the vegetation health trend over the growing season? +
Yes! Use the get_ndvi_timeseries tool with your field ID and the growing season date range (e.g., date_from=2025-04-01, date_to=2025-10-31). This returns NDVI values for each satellite overpass, showing vegetation health progression from planting through harvest. You can also use get_vegetation_index with index=NDVI for point-in-time analysis, or render_index_map to generate a visual color-coded NDVI map of your field.
How do I get weather forecasts and soil moisture data to plan irrigation for my fields? +
Use get_weather_forecast with your field ID and forecast_range=15_days or 1_month to get upcoming precipitation and temperature forecasts. Combine this with get_soil_moisture to check current soil moisture levels at root zone depth. Together these tools help you determine if and when irrigation is needed. For historical context, use get_weather_data with past dates to understand rainfall patterns and evapotranspiration trends.
Can I generate a zoning map to identify low and high productivity areas within my field? +
Yes! Use the get_zoning_map tool with your field ID. You can specify the vegetation index (NDVI is most common), number of zones (3-5 recommended), and date for analysis. The API returns zone boundaries, average index values per zone, area percentages, and management recommendations. This is essential for variable rate application (VRA), precision fertilization, and targeted irrigation planning.
Your AI, connected to everything.
No credit card required · Free tier available
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