How to Use the Agro MCP in Cursor

Write agriculture analytics scripts in Cursor with real-time farm data using this MCP Server.

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Connect Agro MCP to Cursor

Create your Vinkius account to connect Agro 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 Agro with Cursor

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Claude

Perplexity

Inject live soil metrics into Cursor

`get_current_soil` pulls surface temperature and moisture levels directly into your editor context via the MCP protocol. Your agent uses these exact values to write localized irrigation logic instead of relying on dummy JSON files. Real data breaks code in ways stubs never do. Testing your scripts against actual farm conditions ensures your threshold alerts work before you push to production.

Automate satellite imagery retrieval

`search_imagery` queries the latest orbital passes for your target coordinates. The MCP Server feeds the timestamps and cloud cover percentages straight to Cursor while you write the ingestion pipeline. Fetching vegetation health follows the exact same pattern. You call `get_ndvi_history` to grab historical plant vigor stats, letting the editor auto-complete your data visualization scripts with actual EVI parameters.

Manage agricultural zones programmatically

`create_polygon` registers a new geographical boundary for monitoring. Developers building farm management dashboards can let the AI generate the MCP integration code while actually creating test zones in the background. Cleanup happens instantly via `delete_polygon` when you finish testing. You never leave the IDE to manage your test data state.

Setup guide

Set up Agro 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 Agro 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 Agro transactions." If the MCP tools are loaded correctly, Cursor will call the Agro tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "agro-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Agro MCP in Cursor

Create an mcp.json file in your project root directory. Add the startup command and arguments for the server. Toggle Agent mode on in the chat panel to activate the tools.

No, it pulls real satellite and weather metrics. If you need mock data, tell the AI to cache the response from a live tool call. This guarantees your schema matches production exactly.

The agent needs an active polygon ID to fetch localized data. Tell Cursor to run the polygon creation tool first. Once the area exists, precipitation and temperature calls will succeed.

The NDVI and EVI data comes back as a structured JSON array of timestamps and values. Your editor reads this array to understand the data shape before writing your charting components.

Cursor sends your polygon coordinates to an ephemeral Vinkius container. The environment executes the soil or weather query and immediately terminates. Zero persistent logging occurs for your API requests.

Use it with your favorite AI tools

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

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