Verbinden Sie Applitools mit ChatGPT, Claude und Gemini

• 01 / 03Applitools Testfehler analysieren
• 02 / 03Baselines verwalten
• 03 / 03Applitools Test-Batch-Status überwachen

Schnellster Tag

752ms

Langsamster Tag

1178ms

14-Tage-Trend

Verlangsamend+11%

Applitools Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_1ndLMlxAw2nCuJj6kBoTmkGgowFbzClCzzhDWYqC/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 — Applitools capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "applitools-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_1ndLMlxAw2nCuJj6kBoTmkGgowFbzClCzzhDWYqC/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? Applitools in Claude und anderen KI-Tools einrichten

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

• 01

  QA Automation Engineers

  Lassen Sie Ihren Agenten zusammenfassende Berichte über ungelöste Test-Batches erstellen und identifizieren Sie spezifische OS/Browser-Fehlerkombinationen.

• 02

  Frontend Developers

  Überprüfen Sie visuelle Baselines für spezifische Branches während Pull Requests, ohne den Kontext wechseln zu müssen.

• 03

  Engineering Managers

  Ziehen Sie hochrangige Batch-Statistiken, um sicherzustellen, dass die Release-Kriterien visuell erfüllt sind.

• 04

  Designers

  Fordern Sie eine schnelle Aufschlüsselung struktureller UI-Änderungen an, die von Applitools Visual AI vor dem Deployment erfasst wurden.

• 01

  Does this MCP affect my existing baselines?

  No. The capabilities allow you to list, delete, and manage baselines, but they do not automatically change your existing 'golden' visual standards. You must explicitly authorize the deletion of outdated baselines.

• 02

  Can I see which browsers failed a test?

  Yes. When you request specific session details, the agent can pinpoint the failure, noting the exact OS and browser combination where the visual mismatch occurred.

• 03

  Is this just a report viewer, or can it take action?

  It's more than a viewer. You can ask the agent to perform actions like deleting outdated baselines or discarding legacy test batches, which keeps your workspace clean.

• 04

  What is the difference between a batch and a session?

  A batch groups related test sessions. You first list the batches to get the general status, and then you use the batch ID to get full details of a specific session within that group.

• 05

  Do I need to open the Applitools dashboard to use this?

  No. The entire point of this MCP is to bring the Applitools data into your AI client. You get the analysis and results directly in your chat window.

• 06

  Can my AI agent resolve a test failure on its own?

  No. The MCP server is designed for pulling state data—it retrieves batches, session diff links, and match levels so you can review them locally. Approving a new baseline or resolving a mismatch still requires human intervention within the Applitools Eyes dashboard to maintain absolute testing safety.

• 07

  Can I use the agent to delete old UI snapshots?

  Yes. If your UI has undergone major structural changes and old baselines are causing false positives, you can authorize the agent to execute the delete_baseline capability. Provide the exact baseline ID to instantly discard the legacy screenshot from your workspace.

• 08

  How fast can I summarize test errors after my CI/CD action triggers?

  Almost instantly. Rather than scrolling through dozens of Applitools logs, ask your agent to 'Get batch stats for ID 123'. It will immediately return the aggregation of Passed, Failed, and Unresolved runs, saving you countless minutes of digging.

• 

  Katalon TestOps (AI Test Management) KI-Connector

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

  Ansehen
• 

  Testim KI-Connector

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

  Ansehen
• 

  TestRail KI-Connector

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

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• 

  TestMu AI (formerly LambdaTest) KI-Connector

  Manage cross-browser testing via TestMu AI — audit automation builds, inspect test sessions, and retrieve visu

  Ansehen

Vorschläge

• 

  Mabl (AI-Powered Test Automation) KI-Connector

  Manage E2E testing via Mabl — trigger test plans, monitor execution results, and perform AI-driven failure ana

  Ansehen
• 

  Percy KI-Connector

  Execute visual regression tests via Percy — track visual diffs natively, inspect snapshot limits, approve buil

  Ansehen
• 

  test-regression-runner KI-Connector

  Automated verification system that executes targeted test suites and detects regressions or flakiness.

  Ansehen
• 

  TestLink KI-Connector

  Navigate your self-hosted TestLink instance to inspect test plans, suites, cases, and builds natively via your

  Ansehen