trigger.dev
Trigger.dev – build and deploy durable AI agents and workflows
- 16.6k estrellas
- 1.5k forks
- 241 issues abiertos
- Lenguaje: TypeScript
- Licencia: Apache-2.0
- actualizado
Instalación
git clone https://github.com/triggerdotdev/trigger.dev{
"mcpServers": {
"trigger-dev": {
"command": "node",
"args": ["/path/to/trigger.dev/dist/index.js"]
}
}
}{
"mcpServers": {
"trigger-dev": {
"command": "node",
"args": ["/path/to/trigger.dev/dist/index.js"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Clone https://github.com/triggerdotdev/trigger.dev and follow its README for install instructions.
Nota editorial
Trigger.dev is an open-source TypeScript platform for building and deploying durable AI agents and background workflows without managing infrastructure. It exposes an MCP server that lets Claude Code and other MCP-compatible clients trigger, inspect, and manage workflow runs directly from the assistant interface. The core SDK offers background tasks with automatic retries, configurable concurrency queues, cron schedules of up to one year, batch triggering via `batchTrigger()`, and structured schema validation on task inputs and outputs. A checkpoint-and-resume system makes tasks inherently durable, allowing them to pause mid-execution for human-in-the-loop approval via Waitpoints before continuing. Unlike AWS Lambda or Vercel, there are no execution timeouts, and build extensions let tasks run browsers, Python scripts, or FFmpeg in production. Realtime subscriptions and React hooks surface live run status directly in frontend applications. The platform suits TypeScript developers building LLM pipelines, multi-step AI agents, or any long-running automation that needs observability, per-run tracing, and elastic scaling without custom server configuration.
Resumen de MCP Servers

Build and deploy fully‑managed AI agents and workflows
Website | Docs | Issues | Example projects | Feature requests | Public roadmap | Self-hosting
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.
Key features
JavaScript and TypeScript SDK - Build background tasks using familiar programming models
Long-running tasks - Handle resource-heavy tasks without timeouts
Durable cron schedules - Create and attach recurring schedules of up to a year
Trigger.dev Realtime - Trigger, subscribe to, and get real-time updates for runs, with LLM streaming support
Build extensions - Hook directly into the build system and customize the build process. Run Python scripts, FFmpeg, browsers, and more.
React hooks - Interact with the Trigger.dev API on your frontend using our React hooks package
Batch triggering - Use batchTrigger() to initiate multiple runs of a task with custom payloads and options
Structured inputs / outputs - Define precise data schemas for your tasks with runtime payload validation
Waits - Add waits to your tasks to pause execution for a specified duration
Preview branches - Create isolated environments for testing and development. Integrates with Vercel and git workflows
Waitpoints - Add human-in-the-loop judgment at critical decision points without disrupting workflow
Concurrency & queues - Set concurrency rules to manage how multiple tasks execute
Multiple environments - Support for DEV, PREVIEW, STAGING, and PROD environments
No infrastructure to manage - Auto-scaling infrastructure that eliminates timeouts and server management
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.
Useful links:
Quick start - get up and running in minutes
How it works - understand how Trigger.dev works under the hood
Guides and examples - walk-through guides and code examples for popular frameworks and use cases
Self-hosting
If you prefer to self-host Trigger.dev, you can follow our self-hosting guides:
Docker self-hosting guide - use Docker Compose to spin up a Trigger.dev instance
Kubernetes self-hosting guide - use our official Helm chart to deploy Trigger.dev to your Kubernetes cluster
Support and community
We have a large active community in our official Discord server for support, including a dedicated channel for self-hosting.
Development
To setup and develop locally or contribute to the open source project, follow our development guide.
Meet the Amazing People Behind This Project:
Lo que la gente pregunta sobre trigger.dev
¿Qué es triggerdotdev/trigger.dev?
triggerdotdev/trigger.dev es mcp servers para el ecosistema de Claude AI. Trigger.dev – build and deploy durable AI agents and workflows Tiene 16.6k estrellas en GitHub y su última actualización registrada es del 2026-10-23.
¿Cómo se instala trigger.dev?
Puedes instalar trigger.dev clonando el repositorio (https://github.com/triggerdotdev/trigger.dev) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar triggerdotdev/trigger.dev?
Nuestro agente de seguridad ha analizado triggerdotdev/trigger.dev y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene triggerdotdev/trigger.dev?
triggerdotdev/trigger.dev es mantenido por triggerdotdev. La última actividad registrada en GitHub es del 2026-10-23, con 241 issues abiertos.
¿Hay alternativas a trigger.dev?
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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