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How to Use the Centaur Analytics MCP in Cursor

Build custom grain monitoring scripts and query live bin data directly inside Cursor.

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Connect Centaur Analytics MCP to Cursor

Create your Vinkius account to connect Centaur Analytics 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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Inject live sensor telemetry into your code with Cursor

The `get_current_readings` tool brings real-time temperature, moisture, and CO2 values directly into your active coding file. Instead of writing mock data or stubs, your Cursor agent pulls live API responses to test your custom automation scripts. You can build and test grain-drying logic using real numbers. Ask the editor to generate a script, and it will use `get_bins` to map the target storage units and populate your variables with actual field telemetry.

Test predictive grain models using this MCP Server

The `get_spoilage_predictions` tool provides risk levels and estimated days until grain degradation occurs. Your Cursor agent calls this tool to verify how your custom alerting apps handle critical, high-risk scenarios. Integrating this with `get_quality_forecast` lets you build smart scheduling tools for aerators. The editor reads the simulation data directly, allowing you to write precise logic that triggers hardware based on forecasted grain behavior.

Debug hardware integrations using real-time diagnostics

The `get_sensor_health` tool delivers signal strength, battery percentages, and operational status for your physical sensor array. Cursor uses this data to help you write self-healing scripts that automatically flag offline nodes. When building maintenance dashboards, your agent uses the MCP pipeline to run `get_alerts` to pull active threshold breaches. This lets you debug your notification pipelines with real alerts, ensuring your code reacts correctly to high CO2 or temperature spikes.

Setup guide

Set up Centaur Analytics MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the Centaur Analytics 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. 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. 4

    Verify the connection

    Ask Cursor something like "List my recent Centaur Analytics transactions." If the MCP tools are loaded correctly, Cursor will call the Centaur Analytics tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "centaur-analytics-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Centaur Analytics. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Centaur Analytics MCP in Cursor

Add the server settings to your local .cursor/mcp.json file. Once saved, Cursor's Agent mode automatically detects the MCP tools and allows you to query your grain bins from the chat sidebar.
Yes. You can ask Cursor to write a script that queries `get_co2_history`, and the editor will use the live tool output to write, test, and refine the code on the spot.
The editor reads the error payloads from tools like `get_sensor_health`. It then writes defensive code blocks to handle offline hardware, low battery levels, or missing telemetry.
Yes. The `get_temperature_history` tool fetches real time-series data, which your agent can inject directly into your test suites to verify your hot spot detection algorithms.
All CO2, temperature, and moisture metrics pass through a secure, ephemeral connection managed by the Vinkius MCP gateway. Your physical storage metrics are never stored or exposed to external code repositories.

Start using the Centaur Analytics MCP today

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