Amazon SQS
Managed message queuing API for sending, receiving, and deleting messages, plus queue creation, configuration, permissions, tagging, and dead-letter redrive tasks.
Three ways to use Amazon SQS
Chat with Geni
Ask Geni to pull data, take actions, or answer questions using this integration in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with Amazon SQS.
Add Permission
Grant queue access to other AWS accounts via a generated policy statement.
Cancel Message Move Task
Cancel a running message-move (redrive) task.
Change Message Visibility
Change the visibility timeout of a single in-flight message.
Change Message Visibility Batch
Change the visibility timeout of up to 10 messages in one request.
Create Queue
Create a new standard or FIFO queue.
Delete Message
Permanently remove a message from a queue using its receipt handle.
Supported triggers
Start a workflow when something happens in Amazon SQS.
New Message in Amazon SQS
Triggers when a message is available in an SQS queue. Polling uses VisibilityTimeout 0 so messages are never hidden or consumed — real consumers still receive and delete them. Each poll increments the message receive count, so a queue with a dead-letter redrive policy may move these messages to its DLQ over time.
Get started automating Amazon SQS
Ready-to-use workflows
Prompts using Amazon SQS
Amazon SQS dead-letter queue workbench for on-call engineers
Read the actual failed messages sitting in your dead-letter queues, then replay just the ones you pick or archive them safely before anything gets cleared.
Amazon SQS queue health board for your on-call rotation
See every message queue on one screen with live backlog, oldest message age and dead-letter depth, sorted worst first with trends and fixes built in.
Self-serve Amazon SQS job launcher for support teams
Give support and ops staff a safe catalog of pre-approved backend jobs they can re-run themselves, with a preview step and a full audit trail.
Replay failed SQS messages when a bug fix is merged
When you merge a fix in GitHub, this agent checks the matching dead-letter queue, replays the failed messages, and reports back on the pull request and in Slack.
Weekday morning Amazon SQS queue health digest in Slack
Every weekday at 8am, scan every Amazon SQS queue in your region, flag the ones backing up or filling a dead-letter queue, and post a grouped digest to Slack.
Hourly Amazon SQS queue metrics logged to Google Sheets
Every hour, log queue backlog and dead-letter growth from Amazon SQS into a Google Sheet so your team can chart trends and spot regressions.
Weekly SQS dead-letter queue triage into Linear
Every Monday morning, peek at your dead-letter queue, cluster failures by root cause, and file grouped Linear issues so engineering starts the week with a clear backlog.
Turn Amazon SQS support messages into HubSpot tickets
Every 10 minutes, drain your support queue on Amazon SQS and open a properly triaged HubSpot ticket for every new customer message.
