How to Use the Wiagro MCP in Cursor

Q: How do I analyze storage conditions using Wiagro in Cursor?

You can use the agent mode to call getcurrentreadings and getqualityassessment. The resulting live data gets injected directly into your code, letting you build a robust assessment function.

Q: Can I check the overall facility status using Wiagro in Cursor?

Yep. Use getfacilityoverview to pull a summary of all monitored units into your code. You can then write logic that processes this global data set.

Write working code with real Wiagro data using Cursor's Agent mode.

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Connect Wiagro MCP to Cursor

Create your Vinkius account to connect Wiagro 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 Wiagro with Cursor

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Get current readings for coding context

Need to write a script that checks grain safety? Use `get_current_readings` and inject the live temperature, humidity, and CO2 levels directly into your code block. The AI agent handles this seamlessly. Your generated functions use real API responses, not stubs or mock data.

Model Context Protocol (MCP) Server for Wiagro

The `get_quality_assessment` tool lets you write logic that depends on the grain's quality score and estimated remaining storage life. You can build sophisticated functions that recommend actions based on these live numbers. This makes your code smart; it doesn't just run, it advises.

Track environmental changes with humidity history

Humidity migration is a huge quality factor. Use `get_humidity_history` to pull time-series data (%) right into your program. This lets you write code that monitors for condensation events. It's perfect for building condition monitoring scripts.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

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Common questions about Wiagro MCP in Cursor

You can use the agent mode to call `get_current_readings` and `get_quality_assessment`. The resulting live data gets injected directly into your code, letting you build a robust assessment function.

The server handles historical time-series CO2 readings measured in ppm. This allows you to write scripts that analyze spoilage trends over long periods, like 30 days.

It lets your AI client call real-world APIs and output working code. You don't just get data; you write functions that use that live context, making your development loop faster.

Yep. Use `get_facility_overview` to pull a summary of all monitored units into your code. You can then write logic that processes this global data set.

It manages diverse sensor data, including temperature, humidity percentages, CO2 ppm, and detailed silobag metadata. This scope lets you write very comprehensive monitoring tools.

Use it with your favorite AI tools

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

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