Connectez QA Arbiter à ChatGPT, Claude et Gemini

• 01 / 02Distinguer les erreurs de test
• 02 / 02Valider les traces

Jour le plus rapide

627ms

Jour le plus lent

1142ms

Tendance sur 14 jours

Stable-3%

QA Arbiter Connector

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

Lien du connecteurhttps://edge.vinkius.com/vk_preview_X69TXPHsdjAfNffcyFTnx1dWNUhv3RVHL0mSZM7p/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 — QA Arbiter capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "qa-arbiter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_X69TXPHsdjAfNffcyFTnx1dWNUhv3RVHL0mSZM7p/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 QA Arbiter avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Ingénieur QA

  Pour identifier rapidement si un échec est dû à une mauvaise assertion ou à un bug réel.

• 02

  Développeur Backend

  Pour éviter de corriger inutilement du code alors que le test est erroné.

• 03

  Ingénieur DevOps

  Pour réduire les temps d'arrêt des pipelines causés par des tests instables ou des conflits d'environnement.

• 01

  What is a Decision Pivot?

  It is a structured reasoning pattern where the agent must commit to two boolean values regarding whether the received and expected values match the execution trace.

• 02

  How does this prevent agents from guessing?

  The capability requires specific fields like the execution trace. If the agent's verdict contradicts its own trace, the capability rejects the answer, forcing the agent to re-analyze.

• 03

  Can I use this with Claude or Cursor?

  Yes, any MCP-compatible client like Claude, Cursor, or Windsurf can use this MCP once connected through Vinkius.

• 04

  Does the MCP actually run my code?

  No, the capability does not perform computations. It forces the agent to perform the computation and then validates that the agent's reasoning is internally consistent.

• 05

  What are the possible verdicts?

  The capability returns TEST_ERROR, ENGINE_DEFECT, BOTH_WRONG, or FALSE_ALARM.

• 06

  Does QA Arbiter run my tests or compute expected values?

  No. QA Arbiter performs zero computation and zero side effects. It forces the AI agent to structure its own reasoning into verifiable steps, then validates that the reasoning is logically consistent. Think of it as a reasoning enforcer. like Sequential Thinking, but specialized for test failure diagnosis.

• 07

  What are Decision Pivots?

  Decision Pivots are minimal, verifiable checkpoints that all correct reasoning paths must pass through. a concept from the ROMA research framework. In QA Arbiter, the two pivots are boolean fields: receivedMatchesTrace (does the engine's output match the hand-traced computation?) and expectedMatchesTrace (does the test's expected value match?). The verdict is derived deterministically from these two booleans, making it impossible to reach a wrong conclusion without contradicting yourself.

• 08

  How does it prevent pipeline deadlocks in multi-agent systems?

  In a typical QA→Developer pipeline, when tests fail, the system routes back to the developer. But if the tests themselves are wrong (QA's fault), the developer can't fix them. creating an infinite retry loop. QA Arbiter forces the QA agent to determine fault attribution BEFORE the pipeline routes: if it's TEST_ERROR, the QA agent fixes its own tests; if it's ENGINE_DEFECT, it routes to the developer with traced proof. The aggregate summary tells the orchestrator exactly what to do.

• 09

  What happens if the agent lies about the boolean pivots?

  The consistency validation catches direct contradictions. e.g., if the agent says both values match the trace but chose TEST_ERROR instead of FALSE_ALARM, the capability rejects it. For subtler misrepresentations, the engineTrace field creates an auditable trail: post-hoc analysis can cross-reference the trace against the actual engine source code. The structured format makes deception mechanically harder than with free-form text.

• 

  Katalon TestOps (AI Test Management) Connecteur IA

  Manage test orchestration via Katalon TestOps — rerun test runs, monitor execution results, and audit software

  Voir
• 

  Testim Connecteur IA

  Trigger automated AI tests, inspect execution logs, and manage branches natively via your AI agent.

  Voir
• 

  Langflow (Visual Multi-agent Orchestrator) Connecteur IA

  Orchestrate multi-agent AI workflows visually — execute flows, manage projects, and trigger webhooks directly

  Voir
• 

  Multi-Agent Orchestrator Prover Connecteur IA

  An AI designed a multi-agent system where agents 'work together seamlessly,' data 'flows naturally between the

  Voir

Suggestions

• 

  Multi-Agent Coordination Pattern Validator Connecteur IA

  A diagnostic engine to validate the structural integrity and logical flow of multi-agent orchestration pattern

  Voir
• 

  BrowserStack Connecteur IA

  Automate testing via BrowserStack — manage projects, track test builds, fetch session logs, and monitor execut

  Voir
• 

  Sauce Labs Connecteur IA

  Monitor and manage UI/E2E test automation at scale via AI — stop failing jobs, inspect video logs, and check p

  Voir
• 

  TestRail Connecteur IA

  Browse TestRail suites, parse manual test specs, and monitor active runs seamlessly native within your convers

  Voir