Verbinden Sie Delivery Integrity Prover mit Ihrer KI

• 01 / 03KI-Aufgaben prüfen
• 02 / 03Code verifizieren
• 03 / 03Code verifizieren

Schnellster Tag

714ms

Langsamster Tag

1382ms

14-Tage-Trend

Verlangsamend+23%

Delivery Integrity Prover Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_47XZJ7Jwbw4wbyoAk0N57vFtYyOnkyNmEkgNiNe8/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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 — Delivery Integrity Prover capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "delivery-integrity-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_47XZJ7Jwbw4wbyoAk0N57vFtYyOnkyNmEkgNiNe8/mcp"
    }
  }
}

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

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Delivery Integrity Prover in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  Software-Entwickler

  Nutzer, die sicherstellen wollen, dass KI-generierter Code keine versteckten Fehler oder unvollständige Implementierungen enthält.

• 02

  QA-Engineers

  Experten für Qualitätssicherung, die automatisierte Validierungsprozesse für KI-gestützte Workflows benötigen.

• 03

  DevOps-Spezialisten

  Verantwortliche für CI/CD-Pipelines, die die Integrität von durch KI erzeugten Änderungen überwachen müssen.

• 01

  How does this MCP stop AI agents from lying?

  It requires empirical evidence, such as real terminal output and specific line numbers, rather than allowing the agent to provide descriptive summaries.

• 02

  Can I use this with Cursor or Windsurf?

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

• 03

  What happens if the agent fails the verification?

  The capability issues a rejection verdict highlighting exactly what is missing, such as unverified changes or unmapped requirements, forcing the agent to fix the issue.

• 04

  Does this replace my unit tests?

  No, it requires the agent to actually run your existing unit tests and provide the logs as proof of work.

• 05

  What are the 'pivots' mentioned in the capability?

  Pivots are the five criteria used to judge a task: requirement mapping, artifact modification, verification execution, gap identification, and overall integrity.

• 06

  Why are placeholder logs like 'tests passed' rejected?

  AI agents frequently assume that code works without executing it. Requiring actual command output logs forces them to run verification scripts, catching syntax errors and test failures early.

• 07

  What counts as a remaining gap?

  A remaining gap includes any manual check required by the user, edge cases that were explicitly left out of scope, or dependencies on other teams. Banning 'none' forces agents to acknowledge limitations.

• 08

  How does this prevent agents from lying about completion?

  It converts simple guidelines into strict capability-call checks. The agent must successfully match requirements to modified code lines and paste actual command outputs to get an approval verdict.

• 

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• 

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Vorschläge

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• 

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• 

  claude-task-completion-verifier KI-Connector

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