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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use AI Ethics Prover with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Forces measurable, auditable ethical compliance for AI systems.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 1 capability

The complete AI Ethics Prover capability set.

These are the exact actions your AI can choose when you ask it to work with AI Ethics Prover.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through AI Ethics Prover.

  1. 01

    Validate AI ethics

    You must: (1) identify STAKEHOLDERS. name each affected group with demographics, impact type, severity, and vulnerability. "Society" and "users" are not stakeholders, (2) quantify HARMS. each harm has severity (1-5), probability (%), reversibility, and affected population size. "Potentially harmful" is not quantification, (3) audit BIASES. each protected attribute tested with a named metric (statistical parity, equalized odds, calibration), measured disparity, and mitigation plan. "We checked for bias" without methodology is not an audit, (4) demonstrate TRANSPARENCY. each stakeholder group gets explanation at their comprehension level with top decision factors and counterfactual "what-if" scenarios. "Algorithmic complexity" is not an excuse for opacity, (5) provide RECOURSE. structured challenge mechanism with response SLA, human reviewer, appeal process, and remediation for confirmed errors. "Contact support" is not recourse. If rejected, your ethics assessment has an analytical flaw. Forces operationally specific AI ethics analysis before deploying AI systems. Catches Unnamed Stakeholders ("society" instead of specific groups), Unquantified Harms ("potentially harmful" without severity/probability), Unaudited Biases ("we checked" without methodology), Opaque Transparency ("algorithmic complexity" as excuse), and Absent Recourse ("contact support" instead of structured challenge). Call once per AI system ethical assessment. This is analytical support, not ethical certification

Observed, not estimated

824ms average. Fast in production.

AI Ethics Prover is checked daily against the live service.

Daily averagePeak 973ms
Aug 29Today
Fastest day
734ms
Slowest day
973ms
14-day trend
Improving-25%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Ethics Prover, so you can see the experience inside your AI.

It does not authenticate your account with AI Ethics Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Ethics Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_7qJ0qxhBYTGcM0mD5Tm7UjlCl1VpFyO7pPzQ2B4P/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AI Ethics Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-ethics-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7qJ0qxhBYTGcM0mD5Tm7UjlCl1VpFyO7pPzQ2B4P/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Who it's for

Built for the work AI Ethics Prover owners hand off.

Compliance officers, ML engineers, and product managers building regulated AI systems need this MCP. If your company needs to prove that an AI model is fair, transparent, and safe, this capability provides the necessary structure. It moves your ethics discussion from abstract principles to hard, auditable data points.

  • 01

    Compliance Officer

    Use it to validate that AI systems meet regulatory standards by checking for gaps in bias auditing and recourse mechanisms.

  • 02

    ML Engineer

    Use it to stress-test model documentation, ensuring that every ethical claim is backed by quantifiable metrics and methodology.

  • 03

    Product Manager

    Use it to define the ethical scope of a new feature, forcing consideration of all affected user groups and potential harms before development starts.

FAQ

Questions AI Ethics Prover owners ask.

  • 01

    What is 'ethics washing' in the context of AI?

    Ethics washing is when an AI system makes vague ethical claims, like saying 'we are fair' or 'we checked for bias,' without providing specific, measurable data. This MCP is designed to catch those unproven, superficial claims.

  • 02

    Does using this MCP certify that my AI is ethical?

    No. This MCP is analytical support. It forces structured thinking and identifies gaps in your ethical review. It provides a rigorous audit, but it does not replace a qualified ethics review board.

  • 03

    What specific data points must I provide for bias auditing?

    You must name the protected attribute, the detection metric (like statistical parity), the measured disparity, and the acceptable threshold. Simply saying 'we checked for bias' isn't enough.

  • 04

    What happens if the capability finds a failure?

    The capability returns a specific error code (e.g., HARMS_UNQUANTIFIED) and tells you exactly which of the five axes failed. It then specifies what data you need to add to pass the audit.

  • 05

    Is this capability useful for general AI development?

    It's essential for any AI system that makes decisions affecting people's lives, like lending, hiring, or healthcare. It forces you to treat ethics as an engineering requirement, not just a PR statement.

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