How to Use the Confusion Matrix Engine MCP in Claude Code

Q: How do I add the Confusion Matrix Engine to Claude Code?

Run the command claude mcp add --transport http confusion-matrix-engine in your terminal. This updates your /.claude.json configuration file automatically.

Pipe prediction arrays directly to Claude Code and get instant, deterministic confusion matrices in your terminal.

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Connect Confusion Matrix Engine MCP to Claude Code

Create your Vinkius account to connect Confusion Matrix Engine to Claude Code 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 Claude Code

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Pipe Array Data to This MCP Server in Your Terminal

The `calculate_confusion_matrix` tool brings deterministic classification metrics directly to your command-line interface. Claude Code calls this tool to process actual and predicted label arrays without spinning up Python. You can pipe raw model outputs straight to the CLI agent. It calculates precision, recall, and F1-score instantly, giving you fast feedback during terminal-based debugging sessions.

Automate CI/CD Model Evaluation with Claude Code

Integrate the `calculate_confusion_matrix` tool into your terminal deployment scripts. Claude Code runs headless in your pipelines, evaluating model metrics before triggering a production release. It reads test outputs, calculates the matrix, and blocks the build if accuracy falls below your threshold. This keeps your deployment workflow completely automated and hands-free.

Get Hallucination-Free Metrics in Your Shell

This MCP server exposes the `calculate_confusion_matrix` tool to ensure Claude Code never guesses your model's performance. Terminal-based LLMs struggle with heavy math, but this engine guarantees 100% accurate calculations. The agent displays clean, structured matrix tables directly in your standard output. You get reliable data to make instant decisions on your model checkpoints.

Setup guide

Set up Confusion Matrix Engine MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see confusion-matrix-engine-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Confusion Matrix Engine transactions." It will automatically discover and invoke the available Confusion Matrix Engine tools.

Terminal

claude mcp add --transport http confusion-matrix-engine-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Confusion Matrix Engine MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "confusion-matrix-engine-mcp": {
      "type": "url",
      "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 Claude Code

Run the command `claude mcp add --transport http confusion-matrix-engine ` in your terminal. This updates your ~/.claude.json configuration file automatically.

Yes, Claude Code can execute the tool headlessly in any environment. You can script it to run inside GitHub Actions or Docker containers.

It removes the need for Claude Code to write, execute, and debug custom python scripts in your terminal shell. The engine provides a direct, fast API path to get exact metrics instantly.

The server supports standard SSE and HTTP transport options. Claude Code connects using the HTTP transport flag for reliable terminal operations.

All calculations on your raw target and prediction arrays run inside an ephemeral, zero-trust V8 isolate sandbox. Your evaluation data is discarded immediately after the tool returns the results.

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