How to Use the Confusion Matrix Engine MCP in Cursor

Get ground truth for your model predictions while coding in Cursor.

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Connect Confusion Matrix Engine MCP to Cursor

Create your Vinkius account to connect Confusion Matrix Engine 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 Confusion Matrix Engine with Cursor

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Claude

Perplexity

Evaluate predictions inside Cursor

Inject the `calculate_confusion_matrix` tool into your Agent mode to check model performance while you write code. It eliminates the need to switch windows to verify your logic. You provide the arrays, and the agent returns the exact matrix. It saves you from writing custom metric scripts for every experiment.

Direct metric extraction for Cursor agents

The tool computes F1-score and precision right from your code's output. You can ask the agent to verify your model's performance against a test set. It feeds the results back into your current file context. You can then adjust your training parameters based on these real numbers.

Debugging model performance in Cursor

This MCP server provides a clear view into why your model is misbehaving. It identifies the exact distribution of errors using your provided input arrays. Stop guessing why your model fails. Use the tool to see the False Positive rate and fix your features accordingly.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

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Common questions about Confusion Matrix Engine MCP in Cursor

Define the server in your .cursor/mcp.json file. Once configured, your agent can call the tool whenever you need to check your model's accuracy.

It does. You can ask the agent to run the calculation on your current array variables and it will handle the execution.

It only runs when called. The impact is negligible since the math happens in a lightweight process outside the main editor loop.

Your prediction arrays are processed locally by the server. No data leaves your machine or the editor environment during the calculation.

Yes, run the tool on the output of both models sequentially. You can then ask the agent to compare the resulting precision and recall values.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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