How to Use the AgroLog MCP in Cursor

Q: Can I use AgroLog to debug code in Cursor?

Absolutely. You can call getdevicetelemetry to pull historical data for testing your logic. This lets you verify how your code handles past fluctuations in grain CO2 or moisture.

Q: Is it possible to list AgroLog devices using Cursor?

Use getdevices or getcustomerdevices to retrieve your hardware list. The agent will then have the necessary context to identify which sensor to query for your specific development task.

Q: How do I trigger fans using AgroLog in Cursor?

Invoke the setrelaystate tool from your agent chat. Provide the device ID and the desired relay state to remotely manage your ventilation equipment without leaving the editor.

Inject live AgroLog sensor data and hardware controls directly into your code inside Cursor.

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Connect AgroLog MCP to Cursor

Create your Vinkius account to connect AgroLog 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 AgroLog with Cursor

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Code against live sensor data in Cursor

Build logic that reacts to actual storage conditions by calling `get_temperature` and `get_moisture` directly from your IDE. Your agent uses these live values to write code that monitors grain health. Stop relying on static stubs. By fetching real-time readings, your code reflects the physical state of your silos, making your automation scripts accurate and reliable.

Manage hardware via this MCP Server

Access your entire device inventory using `get_devices` to programmatically handle sensor lists. Use `get_device_attributes` to pull specific calibration data for your custom grain management applications. This MCP Server simplifies how you reference hardware in your codebase. You get the metadata required to build robust interfaces for your monitoring systems.

Automate fan control within Cursor

Write scripts that execute `set_relay_state` to toggle aeration fans based on your own custom algorithms. You can now bridge the gap between sensor data analysis and physical hardware response. Always verify current readings with `get_alarms` before your code triggers a state change. This ensures your automated ventilation logic respects existing safety thresholds.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "agrolog-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 AgroLog. 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 AgroLog MCP in Cursor

Create an mcp.json file in your project root or your global settings directory. Include the server connection details there to expose the tools to the Cursor agent.

Absolutely. You can call `get_device_telemetry` to pull historical data for testing your logic. This lets you verify how your code handles past fluctuations in grain CO2 or moisture.

Use `get_devices` or `get_customer_devices` to retrieve your hardware list. The agent will then have the necessary context to identify which sensor to query for your specific development task.

Invoke the `set_relay_state` tool from your agent chat. Provide the device ID and the desired relay state to remotely manage your ventilation equipment without leaving the editor.

Your grain metrics are processed in an ephemeral environment managed by Vinkius. No telemetry or device logs are stored beyond the session, keeping your operational data secure.

Use it with your favorite AI tools

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

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