Trigger.dev MCP Server – Background Job Control
Trigger.dev's official MCP server gives AI coding assistants an agent-native interface for working with Trigger.dev background jobs. Use it to initialize Trigger.dev in a project, inspect task metadata, trigger and debug runs, cancel executions, deploy tasks, and monitor deployments from an MCP-compatible coding tool.
Overview
Trigger.dev's official MCP server connects AI coding assistants to Trigger.dev
background job workflows. It is designed for agent-assisted development, letting
a coding assistant work with Trigger.dev projects, tasks, runs, and deployments
through natural-language prompts instead of requiring every action to be
performed manually in the dashboard or CLI.
What the MCP server enables
The MCP server exposes practical Trigger.dev development and operations tools.
An AI agent can:
- Add Trigger.dev to an existing project and help create the first task.
- Search Trigger.dev documentation for current implementation guidance.
- Retrieve information about current tasks, including payload schema context.
- Trigger task runs from the connected project.
- Debug runs and inspect run information during development.
- Cancel runs when a task execution should be stopped.
- List runs for a project or task.
- Deploy tasks to production, staging, or preview environments.
- Monitor deployments from the MCP-enabled coding workflow.
Trigger.dev also publishes agent rules alongside the MCP server to help AI
tools generate better Trigger.dev task code and follow recommended patterns.
When to use it
Use Trigger.dev MCP when an AI coding assistant is helping build, debug, or
operate background jobs. Practical examples include adding Trigger.dev to a
Next.js app, generating a task from a product requirement, checking a task's
expected payload, triggering a development run, debugging a failed run,
canceling an accidental execution, deploying a task to staging, or monitoring a
production deployment after a release.
Connection and authentication
The official setup command is npx trigger.dev@latest mcp. It launches an
interactive wizard that lets users choose which AI coding tools should receive
the MCP server configuration and which installation scope to use. Trigger.dev
states that MCP authentication works the same way as the Trigger.dev CLI, so the
server uses the CLI's authenticated account and project context.
Trigger.dev documents a --dev-only option for the MCP server. Use this mode
when the assistant should be restricted to development data and must not access
production information.
Key considerations
Trigger.dev MCP can trigger runs, cancel runs, deploy tasks, and monitor
deployment activity, so treat it as an operational tool rather than a passive
documentation helper. Use --dev-only whenever an agent should not access
production data. Review deployment and run-triggering prompts before allowing
an agent to act, especially in production or staging environments. Keep
Trigger.dev authentication, environment variables, and application secrets out
of shared MCP configuration files. The server is most useful when run inside a
trusted project where the AI assistant has appropriate context and the developer
can review generated task code, deployment decisions, and run actions.
Supported Transports
stdio
Command: npx
Args:
trigger.dev@latestmcp
stdio
Command: npx
Args:
trigger.dev@latestmcp--dev-only
Frequently Asked Questions
- When should an AI agent use the Trigger.dev MCP server?
- Use it when an agent is helping build or operate Trigger.dev background jobs, such as adding Trigger.dev to a project, creating a task, inspecting payload schemas, triggering a run, debugging failures, canceling runs, deploying tasks, or monitoring deployments.
- What does the Trigger.dev MCP server add to an AI agent's capabilities?
- It gives the agent direct access to Trigger.dev project, task, run, and deployment workflows through MCP, allowing it to perform Trigger.dev actions and search Trigger.dev documentation instead of relying only on static knowledge or manual CLI commands.
- What can an AI agent access or manage through Trigger.dev MCP?
- The agent can initialize Trigger.dev in a project, inspect task information such as payload schemas, trigger tasks, debug runs, cancel runs, list runs, deploy tasks to production, staging, or preview environments, and monitor deployments according to the authenticated CLI context.
- How is authentication configured for Trigger.dev MCP?
- Trigger.dev states that the MCP server is authenticated the same way as the Trigger.dev CLI. Users should sign in through the CLI-supported workflow and avoid storing API keys, production secrets, or environment credentials in shared MCP configuration files.
- Which transport should be used for Trigger.dev MCP?
- Use local stdio with `npx trigger.dev@latest mcp`, which runs the official setup wizard for supported AI coding tools. Use the documented `--dev-only` stdio configuration when the server should be prevented from accessing production data.