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Connect Counterfactual-Variant Prover to ChatGPT and Claude

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. Force your AI to reason instead of reciting.

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 Counterfactual-Variant Prover.

  1. 01

    Validate counterfactual

    This capability forces your agent to perform a structured decontaminating check on logic puzzles. It requires the agent to identify classic templates, isolate prompt-specific variables, and verify that the final answer isn't just a memorized response from a known benchmark.

Real work

What teams actually run

01

Logic Puzzle Testing

Verify if an agent can solve a variation of a famous riddle without falling into old patterns.

02

Benchmark Validation

Check if a model is actually reasoning or just reciting training data during evaluation.

03

Agentic Reasoning Audits

Audit the decision-making steps of an autonomous agent to ensure it follows specific constraints.

04

Mathematical Verification

Ensure that modified math problems are solved using the new parameters rather than standard ones.

Automate a task

Put Counterfactual-Variant 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

Counterfactual-Variant 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 Counterfactual-Variant 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

855ms average. Fast in production.

Counterfactual-Variant Prover is checked daily against the live service.

Daily averagePeak 973ms
Oct 3Today
Fastest day
619ms
Slowest day
973ms
14-day trend
Slowing+10%

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 Counterfactual-Variant Prover, so you can see the experience inside your AI.

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

Counterfactual-Variant Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_DsoSPwZEWSeSBTBSQCX8U58BqAbjy82WIsWBk6Wg/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 — Counterfactual-Variant Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "counterfactual-variant-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DsoSPwZEWSeSBTBSQCX8U58BqAbjy82WIsWBk6Wg/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 Counterfactual-Variant Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Counterfactual-Variant Prover owners hand off.

This MCP is built for anyone testing the reasoning limits of AI agents or building logic-heavy applications.

  • 01

    AI Researchers

    Testing models for recitation bias and pattern-matching errors.

  • 02

    Prompt Engineers

    Validating that complex, multi-step instructions actually work.

  • 03

    Software Developers

    Building agents that need to solve non-standard logical problems.

FAQ

Questions Counterfactual-Variant Prover owners ask.

  • 01

    What is recitation bias in AI?

    Recitation bias happens when an AI recognizes a famous problem and provides the standard answer from its training data, even if you changed the rules or variables in your prompt.

  • 02

    How does this MCP stop an AI from cheating?

    It forces the agent to go through a structured process of variable isolation and rule mapping, making it impossible to jump straight to a memorized conclusion without being flagged.

  • 03

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 04

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you. You just connect it once and it is ready to use.

  • 05

    Can this capability solve any math problem?

    It is specifically designed for problems where there is a risk of the model relying on memorized patterns, such as modified logic puzzles or classic math riddles.

  • 06

    How does Counterfactual-Variant Prover stop recitation bias?

    By introducing structural friction. When an agent is forced to fill a schema requiring explicit separation of variables, mapping of differences, and step-by-step logic, it cannot rely on automatic token generation. The capability rejects any attempt to skip these steps or leak classic parameters.

  • 07

    What happens if a puzzle has no classic equivalent?

    If no classic signature is detected, the model sets recitationSignatureDetected to false, maps variables, and solves it. However, if the text contains keywords of known puzzles (e.g. Monty Hall, Cheryl), the engine enforces the full counterfactual check to avoid semantic traps.

  • 08

    Can it be used alongside other reasoning provers?

    Yes. It works as an orthogonal check. While the Critical Thinking Prover checks overall cognitive quality, the Counterfactual-Variant Prover focuses specifically on variable isolation and preventing memorization loops in logic and mathematics.

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