How to Use the AI Ethics Prover MCP in Claude Code

Q: Does this tool support custom metrics when called from Claude Code?

Yes, the validateaiethics tool supports standard quantitative fairness metrics like equalized odds, statistical parity, and calibration. Claude Code can pass these metrics from your test suites directly to the server for instant verification.

Force strict algorithmic audits in your terminal. Block biased deployments by piping Claude Code to this ethics validation server.

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Connect AI Ethics Prover MCP to Claude Code

Create your Vinkius account to connect AI Ethics Prover 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 AI Ethics Prover with Claude Code

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Validate ethics schemas directly in your CLI pipelines

Claude Code lives in your terminal, making it perfect for running fast checks before staging git commits. But fast code often leads to sloppy ethics. By calling `validate_ai_ethics` via the command line, you ensure that every model schema is audited for real-world impact before it hits production. This MCP Server acts as an automated gatekeeper. If your terminal agent tries to commit code with vague ethical claims, the server throws a non-zero exit code. You catch missing stakeholder definitions and unquantified harms directly in your local shell or CI pipeline.

Force Claude Code to quantify systemic harms

Terminal agents love speed, but they struggle with qualitative risk. The `validate_ai_ethics` tool forces Claude Code to break down potential harms into concrete variables: severity ratings, probability percentages, and reversibility. You get hard numbers instead of hand-waving assumptions. The server rejects any payload that uses placeholder descriptions like "potentially harmful." By forcing your CLI agent to calculate these metrics, you build a verifiable audit trail that you can pipe directly into your compliance documentation.

Run headless bias audits using this terminal MCP Server

You don't need a heavy GUI to run rigorous bias checks. This server lets you run headless audits by passing your model's metrics directly from Claude Code. The `validate_ai_ethics` tool checks protected attributes against statistical parity and calibration metrics in milliseconds. If the tool detects a disparity without a clear mitigation plan, it halts the CLI execution. This ensures that your automated scripts and cron jobs never deploy a model that fails basic fairness tests.

Setup guide

Set up AI Ethics Prover 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 ai-ethics-prover-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest AI Ethics Prover transactions." It will automatically discover and invoke the available AI Ethics Prover tools.

Terminal

claude mcp add --transport http ai-ethics-prover-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 AI Ethics Prover 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": {
    "ai-ethics-prover-mcp": {
      "type": "url",
      "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 AI Ethics Prover. 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 AI Ethics Prover MCP in Claude Code

You add this MCP Server to your Claude Code terminal using the command `claude mcp add --transport http ai-ethics-prover-mcp -- `. Once installed, you can command Claude Code to run the `validate_ai_ethics` tool directly from your shell to audit your active code branch.

Yes, you can trigger this MCP Server during your build steps. Claude Code can run the validation headlessly, checking your bias audit logs and recourse schemas, and failing the build if any of the five operational axes do not pass.

Standard linters only check code syntax, while this tool audits the actual human impact of your models. It forces Claude Code to prove that you have real recourse mechanisms, quantified harms, and mathematical bias metrics before deploying.

Yes, the `validate_ai_ethics` tool supports standard quantitative fairness metrics like equalized odds, statistical parity, and calibration. Claude Code can pass these metrics from your test suites directly to the server for instant verification.

All validation payloads containing your protected attributes and stakeholder schemas are processed within an ephemeral, zero-trust V8 sandbox. This server never logs or retains your sensitive compliance data, ensuring your corporate audits remain completely confidential.

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