Connectez Critical Thinking Prover à ChatGPT et Claude

• 01 / 03Tester vos stratégies
• 02 / 03Valider le raisonnement
• 03 / 03Comment vérifier les migrations

Jour le plus rapide

753ms

Jour le plus lent

1125ms

Tendance sur 14 jours

En amélioration-29%

Critical Thinking Prover Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_HnRM4jwjWWzTcwIx1fdDtyj5utGoROvccTsTLtXH/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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 — Critical Thinking Prover capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "critical-thinking-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HnRM4jwjWWzTcwIx1fdDtyj5utGoROvccTsTLtXH/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer Critical Thinking Prover avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Architectes Logiciels

  Pour valider les décisions de structure système et éviter les biais de conception.

• 02

  Stratèges Business

  Pour tester la solidité des décisions stratégiques face aux risques et aux effets de second ordre.

• 03

  Ingénieurs DevOps

  Pour garantir que les automatisations et les migrations sont réellement complétées et vérifiées.

• 01

  How is this different from a system prompt?

  System prompts are suggestions that agents often ignore. This MCP uses a capability schema that makes validation an obligation, meaning the agent must provide specific data to pass.

• 02

  What happens if the agent's reasoning is rejected?

  The capability returns a rejection with specific feedback, such as identifying assumption blindness or confirmation bias, forcing the agent to re-evaluate.

• 03

  Can I use this for coding tasks?

  Yes. The validate_task_completion capability is specifically designed to verify that code changes are real, mapped to files, and backed by execution logs.

• 04

  Does this work with any AI client?

  It works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

• 05

  What is 'false precision'?

  False precision is when an agent provides a specific, confident answer without acknowledging the uncertainty or the conditions under which that answer might change.

• 06

  Does Critical Thinking Prover generate answers to complex problems?

  No. Critical Thinking Prover performs zero content generation. It forces the AI agent to structure its own reasoning into verifiable fields. assumptions, frameworks, evidence, consequences, confidence bounds. then validates that the reasoning is logically consistent. The agent does all the thinking. The capability catches blind spots.

• 07

  How is this different from Sequential Thinking?

  Sequential Thinking structures thoughts in a linear chain. step 1, step 2, step 3. It's domain-agnostic and doesn't validate reasoning quality. Critical Thinking Prover is orthogonal: it doesn't sequence thoughts, it validates that the reasoning addresses five specific cognitive failure modes. assumption blindness, mono-perspective, confirmation bias, scope neglect, and false precision. You can use both together: Sequential Thinking to decompose the problem, Critical Thinking Prover to validate the conclusion.

• 08

  What types of problems does this apply to?

  Any complex problem where the answer is not obvious and the reasoning matters more than the conclusion. Technical architecture decisions, business strategy, policy design, ethical dilemmas, resource allocation, organizational restructuring, risk assessment, investment analysis, product prioritization. If the problem has competing frameworks, hidden trade-offs, and uncertain outcomes. this capability forces the agent to reason through them instead of pattern-matching to a confident-sounding answer.

• 09

  Can the agent still reach a 'wrong' conclusion after passing validation?

  Yes. and that's by design. Critical Thinking Prover validates reasoning PROCESS, not reasoning OUTCOMES. A conclusion can be well-reasoned and still turn out wrong. that's the nature of complex problems. What the capability guarantees is that the reasoning considered assumptions, multiple perspectives, counterevidence, consequences, and uncertainty bounds. A well-structured wrong answer is infinitely more useful than a confidently stated right one. because you can see WHERE the reasoning might break.

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