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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use EOSDA with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Precision agriculture satellite intelligence. access NDVI, soil moisture, and crop health via AI.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 6 capabilities

The complete EOSDA capability set.

These are the exact actions your AI can choose when you ask it to work with EOSDA.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through EOSDA.

  1. 01

    Get available datasets

    Use these dataset IDs for search_dataset and create_vegetation_task. Get list of available satellite datasets

  2. 02

    Get available indices

    Use these index types with create_vegetation_task. Get list of available vegetation indices

  3. 03

    Create vegetation task

    ) for a specific area of interest. Returns a task ID that can be used with get_task_result to retrieve results. Use get_available_indices to see all available index types. Create a vegetation index calculation task (NDVI, EVI, etc.)

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through EOSDA.

  1. 04

    Get task result

    Returns the processed vegetation index data, download URLs and status. Get the result of a vegetation index task

  2. 05

    Search dataset

    ) within a date range and optional area of interest. Returns scene IDs, dates, cloud cover percentages and download URLs. Use get_available_datasets to see all dataset options. Search satellite imagery for a specific dataset

  3. 06

    Search multi dataset

    G. Sentinel-2 and Landsat 8 together). Returns scenes from all requested datasets within the date range and area of interest. Search satellite imagery across multiple datasets

Observed, not estimated

853ms average. Fast in production.

EOSDA is checked daily against the live service.

Daily averagePeak 1072ms
Aug 20Today
Fastest day
693ms
Slowest day
1072ms
14-day trend
Slowing+13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of EOSDA, so you can see the experience inside your AI.

It does not authenticate your account with EOSDA. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

EOSDA Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — EOSDA capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "eosda-agriculture-satellite-data-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions EOSDA owners ask.

  • 01

    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).

  • 02

    How do I calculate the NDVI for a specific field?

    Use the create_vegetation_task capability. 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.

  • 03

    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.

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