- QUEUED
- RUNNING
- COMPLETED
- MANUAL
Short answer
How can I run many tasks at once using my AI?
You tell your AI to group specific operations into a single batch. It then triggers those tasks in bulk and monitors their progress so you don't have to track individual executions manually. You get a clear view of which tasks succeeded or failed.
Batch task outcomes
Where your tasks land.
What happens after your AI sends the command.
QUEUED
Tasks are staged
The AI organizes your instructions into a single batch. These tasks wait in the queue ready to execute.
RUNNING
Background execution
Trigger.dev handles the heavy lifting. Your AI stays free to handle other prompts while the jobs run in the background.
COMPLETED
Results are ready
Once the batch finishes, your AI pulls the outcome of every single task. You get a clean summary of the work done.
MANUAL
Human review needed
If a batch fails or hits an error, the AI flags it for you. You decide whether to retry the job or fix the underlying logic.
The workflow
What your AI does when <the thing arrives>.
The AI translates your high-level request into structured background jobs.
Group operations
The AI takes your list of requirements and bundles them into a single logical unit.
create_batchLaunch the batch
Your agent sends the entire group of tasks to the background runner at once.
batch_trigger_tasksMonitor progress
The AI watches the execution status to ensure the jobs are moving through the queue.
get_batch_resultsReport outcomes
The AI checks the final state of the batch to tell you exactly what happened.
get_batch_results
Try it
Copy these to start.
Use these prompts to kick off your first batch job.
Starting points
These are opening lines, not scripts. Swap the bracketed text for your actual data, like specific user IDs or file names.
Trigger.dev Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_DiUWSJJpaOcItA1IYDF4PWPoPmppnbeSDfcRQ8O3/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Trigger.dev capabilities are ready to use.
{
"mcpServers": {
"triggerdev-background-tasks-jobs-mcp": {
"url": "https://edge.vinkius.com/vk_preview_DiUWSJJpaOcItA1IYDF4PWPoPmppnbeSDfcRQ8O3/mcp"
}
}
}Create a batch of tasks to process these 50 CSV files in my Google Drive.
Trigger a batch of tasks to send welcome emails to the users in my 'new_signups' list.
Run a batch job to resize all images in the 'uploads' folder.
Start a batch to sync the data from my Shopify store to my database.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Trigger.dev once, then ask.
Just link your account once. Your credentials stay encrypted and secure, and you can immediately start giving your AI batching commands.
Connect Trigger.dev to your AIFAQ
How batching behaves
- 01
Can the AI run tasks one by one instead of in a batch?
Yes, but using the batch tools is how you handle high-volume work without overwhelming the connection.
- 02
Does the AI delete my data if a task fails?
No. The AI only triggers tasks and reads results. It has no capability to delete your files or data.
- 03
Can the AI change my Trigger.dev configuration?
No. The AI can only create, trigger, and check results for batches. It cannot modify your account settings or environment variables.
- 04
How does the AI know if a task in the batch failed?
The AI uses the results tool to inspect the status of every task in the batch and reports the specific errors back to you.
- 05
Will the AI wait for the batch to finish before I can talk to it again?
No. Because these are background tasks, your AI can move on to other things while the batch runs.
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