How to Use the Farmonaut MCP in Cursor

Q: How do I add the Farmonaut MCP Server to my Cursor editor?

Create a .cursor/mcp.json file in your project root and define the server under the mcpServers key. Enable Agent mode in your chat to let the editor invoke the agricultural tools during code generation.

Q: What is the best way to test the Farmonaut weather forecast tool in Cursor?

Ask the agent to execute getweatherforecast for one of your registered field IDs. The editor runs the tool in the background and displays the raw JSON forecast directly in your chat panel.

Q: Can I track environmental compliance using this server?

Yes, you can call getdeforestationalerts through the editor to scan for tree cover loss. This helps you build compliance reporting tools right from your workspace.

Write precision agriculture code using live satellite indices and soil moisture data injected directly into Cursor.

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Connect Farmonaut MCP to Cursor

Create your Vinkius account to connect Farmonaut 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 Farmonaut with Cursor

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Build data-driven farming apps inside Cursor

`add_field` registers new agricultural plots directly from your active Cursor workspace. `get_fields` lists all monitored boundaries so you can build dynamic dashboards without hardcoding IDs.

Inject live satellite indices into your code

`get_ndvi` and `get_evi` retrieve raw spectral values and cloud cover metrics directly into Cursor's Agent mode. `get_sar_analysis` provides radar-based crop structure updates when cloudy weather interferes with optical imagery.

Query real-time soil and weather APIs

`get_soil_moisture` pulls live readings from the root zone to feed your automated irrigation scripts. `get_weather` and `get_weather_forecast` combine historical and forward-looking meteorological data to build predictive watering algorithms.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Farmonaut. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Farmonaut MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and define the server under the mcpServers key. Enable Agent mode in your chat to let the editor invoke the agricultural tools during code generation.

Absolutely. When you ask the editor to write a script, the agent can call active endpoints to fetch real payloads, ensuring your code handles the actual API response structure correctly.

Ask the agent to execute `get_weather_forecast` for one of your registered field IDs. The editor runs the tool in the background and displays the raw JSON forecast directly in your chat panel.

Yes, you can call `get_deforestation_alerts` through the editor to scan for tree cover loss. This helps you build compliance reporting tools right from your workspace.

Yes, all API requests containing your field boundaries, soil moisture readings, and crop types are processed securely. The Vinkius sandbox ensures that these agricultural data points are never cached locally or used to train public AI models.

Use it with your favorite AI tools

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

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