Trigger.dev MCP Server
Equip your AI agent with direct access to Trigger.dev — manage background jobs, monitor task runs, and inspect workflow executions without opening the dashboard.
Ask AI about this MCP Server
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What is the Trigger.dev MCP Server?
The Trigger.dev MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Trigger.dev via 8 tools. Equip your AI agent with direct access to Trigger.dev — manage background jobs, monitor task runs, and inspect workflow executions without opening the dashboard. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (8)
Tools for your AI Agents to operate Trigger.dev
Ask your AI agent "Are there any failed background jobs in production?" and get the answer without opening a single dashboard. With 8 tools connected to real Trigger.dev data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Trigger.dev MCP Server capabilities
8 toolsCancel a running task
Get run details
List deployment environments
List all projects
List task runs
List cron schedules
Replay a completed task
Trigger a background task
What the Trigger.dev MCP Server unlocks
Connect Trigger.dev to your AI agent and manage your background job infrastructure conversationally.
What you can do
- Job Monitoring — List active, completed, and failed task runs with execution times, statuses, and error details.
- Project Overview — Query projects, environments, and their associated job definitions.
- Run Inspection — Drill into individual runs to view payloads, outputs, logs, and retry history.
- Environment Management — Switch between dev, staging, and production environments to inspect runs across your deployment pipeline.
How it works
1. Subscribe to the Trigger.dev integration on the marketplace.
2. Generate a Secret API Key from your Trigger.dev dashboard (Project → API Keys section — keys start with tr_dev_ or tr_prod_).
3. Ask your AI agent to list job runs, check failures, or inspect task outputs.
Who is this for?
- Backend Developers — Monitor background job health, debug failed runs, and verify task outputs without leaving your code editor.
- DevOps Engineers — Track job execution across environments and identify bottlenecks in your processing pipeline.
- Technical Leads — Get instant visibility into production job queues during incident response without switching to the Trigger.dev dashboard.
Frequently asked questions about the Trigger.dev MCP Server
How do I get my Trigger.dev API key?
Log in to your Trigger.dev dashboard at cloud.trigger.dev. Open your project, then find the API Keys section in the project settings. Copy your Secret API Key (it starts with tr_dev_ for development or tr_prod_ for production). Paste it into the configuration field below. For Personal Access Tokens (used for admin operations), go to Profile → Personal Access Tokens tab instead.
Can my AI agent tell me why a background job failed in production?
Yes. Ask your agent to list failed runs and it returns the task name, error message, stack trace, execution duration, and retry count for each failure. You can then drill into a specific run to see the exact input payload and which step failed — cutting your debugging time from minutes to seconds.
What if I'm on-call and need to check job health at 2 AM?
Just ask your AI agent 'Are there any failed jobs in production?' and get an instant triage report — number of failures, which tasks are affected, when they started failing, and whether retries resolved them. No need to open a browser, log in, or navigate dashboards in the middle of the night.
Does it support multiple environments like dev, staging, and production?
Yes. Each API key is scoped to a specific environment (dev or prod), just like in Trigger.dev itself. You can configure separate integrations for each environment, or switch between them by updating the API key — giving you full control over which environment your AI agent queries.
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Connect Trigger.dev with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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Give your AI agents the power of Trigger.dev MCP Server
Production-grade Trigger.dev MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.