How to Use the Grain Watch MCP in Cursor

Q: Can I use Grain Watch to auto-generate alert scripts in Cursor?

Yes, your editor agent can call getalerts to fetch active critical issues. It then uses that real data structure to write and test custom webhook triggers or SMS alert scripts.

Q: How do I fetch historical temperature trends?

Use gettemperaturehistory with a specific day parameter to retrieve Celsius logs. The agent can then generate visualization code or run calculations on the historical temperature slope.

Write agricultural monitoring scripts with live silo metrics using Grain Watch in Cursor.

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Connect Grain Watch MCP to Cursor

Create your Vinkius account to connect Grain Watch 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 Grain Watch with Cursor

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Generate code with live grain data

`get_silo_details` pulls actual grain types and sensor counts directly into your Cursor editor. Your coding agent uses this live metadata to write precise aeration scripts instead of relying on mock variables or placeholder schemas. This direct data pipeline ensures your custom alerts match your physical storage layout. You get functional automation code written against actual hardware configurations on the first run.

Build active hotspot alerts in Cursor

`get_hotspot_alerts` retrieves critical temperature differentials and zone locations to fuel your custom notification logic. Cursor reads these active alarms to generate tailored script triggers that fire when grain temperatures spike. Integrating this MCP Server into your workspace means your coding agent can test its own alert routing. You can verify your notification scripts against real sensor faults without leaving your code editor.

Monitor sensor health while coding

`get_sensor_health` checks the communication status and calibration needs of your physical hardware array. Cursor displays offline sensors or low battery warnings directly in your sidebar while you build your monitoring dashboards. This eliminates the need to switch between your terminal and a web portal to check if a sensor is dead. You write code and debug hardware connectivity issues in the same unified interface.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "grain-watch-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 Grain Watch. 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 Grain Watch MCP in Cursor

Create a cursor config file in your project root or global directory. Add the MCP server entry under the mcpServers block using your Vinkius credentials. Cursor will automatically detect the tools when you activate agent mode in chat.

Yes, your editor agent can call `get_alerts` to fetch active critical issues. It then uses that real data structure to write and test custom webhook triggers or SMS alert scripts.

Yes, this server connects your editor to live silo telemetry via secure MCP endpoints. Your agent can run live queries using `get_facility_overview` to verify that your data parser handles actual facility payloads correctly.

Use `get_temperature_history` with a specific day parameter to retrieve Celsius logs. The agent can then generate visualization code or run calculations on the historical temperature slope.

Your grain types, sensor health logs, and temperature readings flow directly through an ephemeral sandbox. No raw agricultural telemetry is cached or stored on Vinkius servers, keeping your physical facility layout completely private.

Use it with your favorite AI tools

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

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