Verbinden Sie Airbrake mit ChatGPT, Claude und Gemini

• 01 / 03Fehler mit Deployments korrelieren
• 02 / 03Fehlergruppen analysieren
• 03 / 03Status überwachen

Schnellster Tag

686ms

Langsamster Tag

1135ms

14-Tage-Trend

Verlangsamend+11%

Airbrake Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_HHP9bR8t0n7QJxt74sVaPWkt2VOwkv5TiYKo0BfB/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 — Airbrake capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "airbrake-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HHP9bR8t0n7QJxt74sVaPWkt2VOwkv5TiYKo0BfB/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? Airbrake in Claude und anderen KI-Tools einrichten

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

• 01

  Engineering Teams

  Sie können Fehler-Spitzen untersuchen und Stack Traces direkt im Code-Editor überprüfen, um schnelle Ursachenanalysen durchzuführen.

• 02

  DevOps

  Verfolgen Sie Deployments und korrelieren Sie Releases direkt mit der Fehlerrate. Dies optimiert Ihren gesamten CI/CD-Prozess.

• 03

  QA Teams

  Überwachen Sie Fehlergruppen über verschiedene Umgebungen hinweg und melden Sie benutzerdefinierte Testfehler, um die Qualitätssicherung zu stärken.

• 01

  What kind of data can I get about my projects?

  You can list all monitored projects and fetch detailed project configurations. You can also view all configured environments (like production or staging) for any given project.

• 02

  How do I know if a new release caused an error?

  You use the MCP to track a deployment, recording the version and environment. After that, you can check error groups and correlate the new errors with that specific release.

• 03

  Can I see the full technical details of an error?

  Yes. You can inspect individual error groups to get full stack traces, see which users were affected, and check the frequency data for that error.

• 04

  Does this MCP only work with one type of client?

  No. Because it's hosted on Vinkius, you connect your preferred AI client, whether that's Claude, Cursor, or VS Code, and gain access to the entire catalog.

• 05

  What if I find a new type of error?

  You can use the capability to report a custom error notice. This allows you to track and monitor new types of failures that aren't already being captured.

• 06

  Can my AI show me the most recent error groups for a project?

  Yes. Use the list_error_groups capability with the project ID. The agent returns all error groups with occurrence counts, severity levels, and the last time each error was seen.

• 07

  How do I track a Installment through the AI?

  Use the track_Install capability with the project ID, version string, and environment name. The agent records the Installment in Airbrake so you can correlate it with error rate changes.

• 08

  Can I report a custom error to Airbrake via my AI agent?

  Yes. The report_notice capability sends a custom error with a type and message to any project. This is useful for tracking non-exception events or test failures.

• 

  Honeybadger (Error Tracking) KI-Connector

  Monitor app exceptions and uptime via Honeybadger — list projects, resolve faults, and track deployments.

  Ansehen
• 

  BugSnag KI-Connector

  Monitor application errors via BugSnag — track stability, inspect error groups, and retrieve event details dir

  Ansehen
• 

  Sentry KI-Connector

  Monitor errors and application health via Sentry — query issues, inspect events, audit releases and check aler

  Ansehen
• 

  Raygun KI-Connector

  Monitor application health, track deployments, and manage crash reports and RUM sessions directly from your AI

  Ansehen

Vorschläge

• 

  Track-POD KI-Connector

  Optimize delivery routes, capture electronic proof of delivery, and track driver performance for logistics ope

  Ansehen
• 

  Azure DevOps KI-Connector

  Manage work items, track builds, and coordinate releases across your Azure DevOps organization with full pipel

  Ansehen
• 

  ApplicantStack KI-Connector

  Manage your hiring process with ApplicantStack — track jobs, candidates, and hires via AI.

  Ansehen
• 

  AfterShip Tracking KI-Connector

  Shipment tracking and logistics — track packages, manage couriers, and monitor deliveries via AI.

  Ansehen