• ERROR
  • STATUS
  • LOGS
  • HUMAN

How to monitor production job health with your AI

Connect Trigger.dev to your AI client to get instant visibility into background task performance. Once connected, your agent can scan environments and job logs to spot failures.

Ask AI about this page

Short answer

How do I check my background job status with AI?

Your AI uses Trigger.dev tools to pull a list of your deployment environments and the specific status of every job run. This lets you ask questions about failure rates or specific task IDs without digging through dashboards. You get a clear view of what's working and what's broken.

Where every issue lands.

Automated health monitoring outcomes

Your AI turns raw job data into actionable insights.

ERROR

Failure alerts

The AI identifies failed runs and summarizes why they crashed. You get a direct report on what went wrong in specific environments.

STATUS

Environment health

Your agent compares job success rates across production, staging, and development. You'll see which environment is currently unstable.

LOGS

Run details

The AI pulls specific execution data for individual job runs. This helps you pinpoint exactly when a task stalled or timed out.

HUMAN

Manual intervention

The AI flags critical issues that require you to step in. It provides the context you need to fix code or retry a job manually.

The workflow

What your AI does when the data arrives.

The AI acts as a bridge between your Trigger.dev logs and your chat interface.

  1. Identify environments

    The AI looks at your different deployment setups to understand where jobs are running.

    list_environments

  2. Fetch job history

    It pulls the execution history for the specific environments you're asking about.

    list_runs

  3. Analyze success rates

    The agent calculates how many jobs succeeded versus how many failed in a given window.

    list_runs

  4. Report findings

    The AI presents a summary of the job health directly in your chat window.

    list_environmentslist_runs

Try it

Copy these to start.

Use these prompts to begin monitoring your jobs.

Starting points

These are basic questions. Swap out the environment names or job types to match your actual setup.

Trigger.dev Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_E3D1PSFbED6190OhQ3gSMc4dXdMknoYFUrVm1Mgk/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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 — Trigger.dev capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "triggerdev-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_E3D1PSFbED6190OhQ3gSMc4dXdMknoYFUrVm1Mgk/mcp"
    }
  }
}
Copy into chat04

  • Check the status of all jobs in my production environment.

  • What is the success rate for jobs in the staging environment?

  • Find the most recent failed run in my development environment.

  • List all the environments I have configured in Trigger.dev.

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

Start here

Connect Trigger.dev once, then ask.

Just link your account via the Vinkius dashboard. Your credentials stay encrypted, and you can immediately start asking your AI about your job runs.

Connect Trigger.dev to your AI

FAQ

How this task behaves

  • 01

    Can the AI restart a failed job?

    No. The AI can only read the status and details of your runs. You must manually trigger retries in your Trigger.dev dashboard.

  • 02

    Can the AI change my environment settings?

    No. This MCP is read-only. It can list environments and runs, but it cannot modify your configuration or deployment settings.

  • 03

    How does the AI know which environment to check?

    The AI uses the list_environments tool to see your available setups, then uses that information to filter the job runs it looks at.

  • 04

    Does the AI see my actual code?

    No. The AI only sees the metadata and execution status provided by the Trigger.dev API.

  • 05

    Can I ask about a specific job ID?

    Yes. Once the AI has access to the run history, you can ask it to look up details for a specific run ID.

  • More questions about Trigger.dev? See everything the Trigger.dev Connector can do

Connect Trigger.dev to Claude, Cursor, ChatGPT & more