How to Use the EOSDA Agriculture Satellite Data MCP in Claude Code

Q: How do I add EOSDA Agriculture Satellite Data to Claude Code?

Run the command claude mcp add --transport http -- in your terminal. Make sure to place all flags before the server name, and verify the connection with claude mcp list.

Claude Code drives satellite imagery pipelines from the terminal, automating crop health analysis directly within your CI/CD workflows.

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Connect EOSDA Agriculture Satellite Data MCP to Claude Code

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Setup EOSDA Agriculture Satellite Data with Claude Code

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Claude

Perplexity

Headless Vegetation Task Execution

`create_vegetation_task` accepts GeoJSON inputs via standard input to calculate specific spectral indices like EVI. Claude Code runs this operation entirely in the background, making it perfect for nightly cron jobs that monitor farm plots. After initiating the job, your MCP client pipes the returned task ID into a tracking script. It then uses `get_task_result` to download the processed GeoTIFFs directly to your local file system or cloud storage bucket.

Terminal-Based Imagery Discovery

`search_dataset` filters the satellite archive for specific dates and cloud cover percentages using raw terminal commands. You can instruct the agent to find the clearest scene from last week and output the metadata as a formatted JSON file. For broader coverage, `search_multi_dataset` queries several constellations at once. Your SRE team can script this tool to ensure constant data flow for downstream agronomy models, regardless of individual satellite downtime.

Automated MCP Server Indexing

`get_available_indices` returns the exact list of supported spectral calculations for a given dataset ID. Claude Code parses this array to validate pipeline arguments before triggering heavy, expensive remote sensing tasks. Finding the right sensor requires knowing what it can measure. The agent calls `get_available_datasets` to map out the hardware options, ensuring your shell scripts only request data that actually exists.

Setup guide

Set up EOSDA Agriculture Satellite Data MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see eosda-agriculture-satellite-data-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest EOSDA Agriculture Satellite Data transactions." It will automatically discover and invoke the available EOSDA Agriculture Satellite Data tools.

Terminal

claude mcp add --transport http eosda-agriculture-satellite-data-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the EOSDA Agriculture Satellite Data MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about EOSDA Agriculture Satellite Data MCP in Claude Code

Run the command `claude mcp add --transport http -- ` in your terminal. Make sure to place all flags before the server name, and verify the connection with `claude mcp list`.

Yes, you can wrap the CLI commands in a shell script and schedule them. The agent will execute the satellite search and vegetation tasks headlessly without any user intervention.

The client extracts the download URLs from the task result payload. It can then use standard terminal utilities like curl or wget to pull the GeoTIFF files directly to your disk.

You just tell the agent your maximum cloud cover percentage. It parses the search results and drops any scene IDs that exceed your defined threshold before requesting the actual images.

This MCP Server processes raw latitude/longitude points and polygon data to locate the correct satellite scenes. Vinkius routes these requests through a V8 Isolate Sandbox, destroying the execution environment immediately after the API call finishes.

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