- Build background tasks using familiar programming models. - Handle resource-heavy tasks without timeouts. - Create and attach recurring schedules of up to a year
Tools
Tools
No tool list yet. Remote servers get one after the first health check.
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Trigger.dev need an API key?
No required environment variable is listed on this record.
What transport does Trigger.dev use?
Trigger.dev runs locally over stdio.
When was Trigger.dev last checked?
Last checked 2026-11-08. - Build background tasks using familiar programming models. - Handle resource-heavy tasks without timeouts. - Create and attach recurring schedules of up to a year
From the publisher
Documentation
Build and deploy fully‑managed AI agents and workflows
01. - Build background tasks using familiar programming models
02. - Handle resource-heavy tasks without timeouts
03. - Create and attach recurring schedules of up to a year
04. - Trigger, subscribe to, and get real-time updates for runs, with LLM streaming support
05. - Hook directly into the build system and customize the build process. Run Python scripts, FFmpeg, browsers, and more.
06. - Interact with the Trigger.dev API on your frontend using our React hooks package
About Trigger.dev
Trigger.dev is the open-source platform for building AI workflows in TypeScript. Long-running tasks with retries, queues, observability, and elastic scaling.
The platform designed for building AI agents
Build AI agents using all the frameworks, services and LLMs you're used to, deploy them to Trigger.dev and get durable, long-running tasks with retries, queues, observability, and elastic scaling out of the box.
Long-running without timeouts: Execute your tasks with absolutely no timeouts, unlike AWS Lambda, Vercel, and other serverless platforms.
Durability, retries & queues: Build rock solid agents and AI applications using our durable tasks, retries, queues and idempotency.
True runtime freedom: Customize your deployed tasks with system packages – run browsers, Python scripts, FFmpeg and more.
Human-in-the-loop: Programmatically pause your tasks until a human can approve, reject or give feedback.
Realtime apps & streaming: Move your background jobs to the foreground by subscribing to runs or streaming AI responses to your app.
Observability & monitoring: Each run has full tracing and logs. Configure error alerts to catch bugs fast.
Automatic retries - If your task encounters an uncaught error, we automatically attempt to run it again
Checkpointing - Tasks are inherently durable, thanks to our checkpointing feature
Versioning - Atomic versioning allows you to deploy new versions without affecting running tasks
Machines - Configure the number of vCPUs and GBs of RAM you want the task to use
Observability & monitoring - Monitor every aspect of your tasks' performance with comprehensive logging and visualization tools
Logging & tracing - Comprehensive logging and tracing for all your tasks
Tags - Attach up to ten tags to each run, allowing you to filter via the dashboard, realtime, and the SDK
Run metadata - Attach metadata to runs which updates as the run progresses and is available to use in your frontend for live updates
Bulk actions - Perform actions on multiple runs simultaneously, including replaying and cancelling
Real-time alerts - Choose your preferred notification method for run failures and deployments
Write tasks in your codebase
Create tasks where they belong: in your codebase. Version control, localhost, test and review like you're already used to.
import { task } from "@trigger.dev/sdk";
//1. You need to export each task
export const helloWorld = task({
//2. Use a unique id for each task
id: "hello-world",
//3. The run function is the main function of the task
run: async (payload: { message: string }) => {
//4. You can write code that runs for a long time here, there are no timeouts
console.log(payload.message);
},
});
Deployment
Use our SDK to write tasks in your codebase. There's no infrastructure to manage, your tasks automatically scale and connect to our cloud. Or you can always self-host.
Environments
We support Development, Staging, Preview, and Production environments, allowing you to test your tasks before deploying them to production.
Full visibility of every job run
View every task in every run so you can tell exactly what happened. We provide a full trace view of every task run so you can see what happened at every step.
Getting started
The quickest way to get started is to create an account and project in our web app, and follow the instructions in the onboarding. Build and deploy your first task in minutes.
