How to Use the EOSDA Agriculture Satellite Data MCP in VS Code Copilot

Q: Can VS Code Copilot write automated tests for EOSDA Agriculture Satellite Data?

Yes, VS Code Copilot uses the actual tool outputs from getavailableindices to write precise unit tests. It generates mocks based on real API payloads instead of guessed schemas.

Q: How do I verify which spectral indices are supported by EOSDA Agriculture Satellite Data in VS Code Copilot?

Run getavailableindices inside the Copilot Chat window. The editor lists all valid index types, allowing you to build error-free payloads for your analysis tasks.

Q: Does this tool support searching multiple satellite constellations simultaneously?

Yes, calling searchmultidataset retrieves matching scenes from multiple satellite platforms. This lets your team build cross-sensor analysis pipelines directly inside VS Code Copilot.

Share satellite data tools across your entire team using this EOSDA Agriculture Satellite Data MCP Server for VS Code Copilot.

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Connect EOSDA Agriculture Satellite Data MCP to VS Code Copilot

Create your Vinkius account to connect EOSDA Agriculture Satellite Data to VS Code Copilot 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 VS Code Copilot

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Share satellite tools via VS Code Copilot config

`get_available_datasets` lets your entire engineering team access the list of active satellite sensors through a shared workspace configuration. Committing the server details to your repository gives every developer instant access to the same tools. This MCP Server ensures that VS Code Copilot can write consistent integration code using real API endpoints. No one on the team has to set up local environment variables just to discover active satellite platforms.

Query multi-satellite data inside VS Code Copilot

`search_multi_dataset` searches across Landsat, Sentinel, and other platforms directly from the Copilot Chat panel. It lists scene IDs and cloud cover percentages without requiring you to switch to a web browser. For targeted queries, `search_dataset` focuses on one specific sensor platform. This lets you quickly test queries and inspect metadata payloads while writing your backend data ingestion services.

Trigger heavy index tasks using this MCP Server

`create_vegetation_task` starts the calculation of NDVI, NDRE, or other vegetation indices for your target coordinates. VS Code Copilot initiates the task and returns a tracking ID directly inside your editing workflow. To keep track of these long-running operations, `get_task_result` monitors the calculations in the background. Copilot alerts you when the GeoTIFF URLs are ready, so you do not waste time polling manually.

Setup guide

Set up EOSDA Agriculture Satellite Data MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the EOSDA Agriculture Satellite Data MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the EOSDA Agriculture Satellite Data tools listed. Try asking: "List my recent EOSDA Agriculture Satellite Data transactions" and Copilot will invoke them automatically.

.vscode/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 VS Code Copilot

Create a .vscode/mcp.json file in your project root and commit it to your Git repository. Every team member using VS Code Copilot gets automatic access to the satellite tools without individual setup.

Yes, VS Code Copilot uses the actual tool outputs from `get_available_indices` to write precise unit tests. It generates mocks based on real API payloads instead of guessed schemas.

Run `get_available_indices` inside the Copilot Chat window. The editor lists all valid index types, allowing you to build error-free payloads for your analysis tasks.

Yes, calling `search_multi_dataset` retrieves matching scenes from multiple satellite platforms. This lets your team build cross-sensor analysis pipelines directly inside VS Code Copilot.

The server processes your field boundaries and coordinate data inside a secure V8 Isolate sandbox on Vinkius. Your API keys are managed through a single secure endpoint token, preventing exposure of credentials in your shared repository.

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