How to Use the EOSDA Agriculture Satellite Data MCP in Cursor

Q: Can Cursor automatically write scripts to process EOSDA Agriculture Satellite Data?

Yes, Cursor reads the schema of createvegetationtask to generate working Python or TypeScript code. It uses real tool outputs to verify that your script handles the API response correctly.

Q: How do I check available index types for EOSDA Agriculture Satellite Data in Cursor?

Ask your Cursor agent to run getavailableindices in Chat or Composer mode. The editor displays the list of supported spectral indices so you can write your task generation scripts without errors.

Q: Can I run multi-sensor queries inside the editor?

Yes, call searchmultidataset to query different satellite constellations at once. Cursor displays the resulting scenes directly in your chat panel for quick inspection.

Generate code that pulls real-time crop indices and satellite imagery directly into Cursor using this MCP Server.

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Connect EOSDA Agriculture Satellite Data MCP to Cursor

Create your Vinkius account to connect EOSDA Agriculture Satellite Data to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup EOSDA Agriculture Satellite Data with Cursor

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Feed live satellite data to Cursor Agent mode

`search_dataset` lets your Cursor agent find specific satellite scenes and insert the real metadata directly into your active workspace. You get actual scene IDs, cloud cover percentages, and image URLs instead of fake placeholder text. Your agent uses `get_available_datasets` to figure out which satellite platforms are currently online. This keeps your code aligned with current API constraints without manual documentation lookups.

Track vegetation tasks in your codebase

`get_task_result` gets the processing status and output download URLs for any active crop analysis task. Cursor uses these live responses to help you write accurate polling logic and data parsing scripts. Instead of guessing the JSON response structure, you run this MCP Server directly within the editor. The actual payloads populate your workspace so you can build your data pipeline with confidence.

Calculate field indices using this MCP Server

`create_vegetation_task` kicks off remote calculations for NDVI or soil moisture indices inside your Cursor terminal. The editor coordinates the request with the EOSDA API and returns a tracking ID immediately. You can verify the exact formulas available by running `get_available_indices`. This ensures your code requests valid spectral bands before you execute a heavy processing job.

Setup guide

Set up EOSDA Agriculture Satellite Data MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the EOSDA Agriculture Satellite Data MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent EOSDA Agriculture Satellite Data transactions." If the MCP tools are loaded correctly, Cursor will call the EOSDA Agriculture Satellite Data tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "eosda-agriculture-satellite-data-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about EOSDA Agriculture Satellite Data MCP in Cursor

Open your cursor mcp.json file and add the server configuration under the mcpServers key. Once saved, Cursor connects to the Vinkius endpoint and makes the satellite tools available to your AI agent.

Yes, Cursor reads the schema of `create_vegetation_task` to generate working Python or TypeScript code. It uses real tool outputs to verify that your script handles the API response correctly.

Ask your Cursor agent to run `get_available_indices` in Chat or Composer mode. The editor displays the list of supported spectral indices so you can write your task generation scripts without errors.

Yes, call `search_multi_dataset` to query different satellite constellations at once. Cursor displays the resulting scenes directly in your chat panel for quick inspection.

Absolutely, your geographic coordinates and field boundaries remain private. The Vinkius sandbox ensures that your spatial queries and API tokens are processed in an ephemeral, zero-trust environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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