Get Started
What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Instantly check queue length, message status, or delivery metrics.
Example
"How many messages are pending in the 'OrderUpdates' queue?"
Memory Recall
Retrieve past message payloads or error logs.
Example
"Show the last 5 failed messages from the PaymentRetry queue."
Instant Reaction
Trigger behavior when a new message arrives in the queue.
Example
"Run fulfillment process when a new order message is received."
Autonomous Routine
Periodically drain or archive low-priority queues.
Example
"Every 6 hours, back up messages from the ErrorQueue."
Agent-Initiated Action
Send, delete, or reroute messages autonomously.
Example
"Send a retry command to the ShippingQueue for failed orders."


Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
AWS Lambda
Trigger serverless functions from queue messages
Amazon EC2
Process queued tasks with scalable compute instances
AWS Step Functions
Coordinate distributed workflows using queues
Try It with Your Agent
Send a message to the order processing queue with the new customer order details and then check if there are any pending messages to process.
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect AWS Simple Queue Service in Fastn UCL: Navigate to the Connectors section and select AWS Simple Queue Service, then click Connect.
2
Authenticate using AWS credentials with permissions for SQS actions (SendMessage, ReceiveMessage, DeleteMessage, etc.).
3
Enable the “sqs.send_message” and “sqs.receive_message” actions in the Actions tab.
4
Use the AI Agent to send, receive or delete messages by issuing relevant prompts.

Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.