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Connect AI Ethics Prover to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Forces measurable, auditable ethical compliance for AI systems.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

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

Real work

What teams actually run

01

Financial Lending Models

Audit lending models to prove fairness. The MCP forces you to quantify the probability and severity of wrongful denial for different demographic groups.

02

Hiring and Screening AI

Validate HR capabilities by demonstrating transparency. You must provide plain-language explanations and counterfactual examples for rejection decisions.

03

Healthcare Diagnostics

Test diagnostic AI to ensure that harms are quantified and that the system includes a clear, human-reviewed appeal process for misdiagnoses.

04

Content Moderation Systems

Verify fairness by auditing biases across different protected attributes and ensuring the recourse mechanism is defined for content removal.

Automate a task

Put AI Ethics Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

AI Ethics Prover works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put AI Ethics Prover to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

830ms average. Fast in production.

AI Ethics Prover is checked daily against the live service.

Daily averagePeak 1057ms
Oct 3Today
Fastest day
661ms
Slowest day
1057ms
14-day trend
Slowing+8%

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

Guided setup for Claude? Set up AI Ethics Prover in Claude and other AIs

See all the AI clients this connector works with ↑

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.

  • 06

    Does this capability make ethical decisions for me?

    No. It enforces analytical rigor. forcing you to name stakeholders, quantify harms, audit biases with methodology, demonstrate transparency, and define recourse mechanisms. It does not prescribe ethical conclusions. The ethics are yours. The structure is enforced by the capability.

  • 07

    What bias metrics does it support?

    Any metric. it is framework-agnostic. Statistical parity, equalized odds, disparate impact ratio, calibration. It does not compute bias. it validates that you named the metric, the protected attribute, the measured disparity, and the acceptable threshold. 'We checked for bias' without this structure is ethics washing.

  • 08

    What counts as a recourse mechanism?

    A structured process: (1) accessible challenge channel, (2) response SLA in business days, (3) human reviewer. not automated, (4) appeal process if the initial review denies the challenge, (5) remediation action if the challenge succeeds. 'Contact support' fails every axis.

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