Amazon SQS
ActiveAn AI agent for Amazon SQS. It works in a scene with a live connection to Amazon SQS. It asks before it writes, and every run is traced.
Send, receive, and manage messages between distributed systems using Amazon SQS. Supports standard and FIFO queues for reliable asynchronous communication.
What you can connect
Add these to your scene and AI gets access.
AWS credentials for SQS access
An SQS queue
Tools
What the agent can do once this is connected.
Reads 4
See data. Nothing changes.
sqs_list_queues
List all SQS queues in the AWS account.
sqs_get_queue_url
Get the URL of an SQS queue by its name..
sqs_receive_messages
Receive messages from an SQS queue.
sqs_get_queue_attributes
Get attributes of an SQS queue — message counts, delays, timeouts, ARN, and creation date..
Writes 3
Change data in the connected system.
sqs_send_message
Send a message to an SQS queue.
sqs_delete_message
Delete a message from an SQS queue after processing.
sqs_purge_queue
Delete ALL messages from an SQS queue.
Connect Amazon SQS over MCP
Daslab is itself an MCP server.
Connect Amazon SQS in a scene, then pin that scene's URL in Claude Code, Cursor, or any MCP client. The agent there gets your Amazon SQS tools, and your approval gate and trace travel with them.
https://daslab.run/mcp/<your-world>/<your-scene>One scene can hold Amazon SQS and everything else you connect, so a single endpoint carries them all. Set up a client.
Use cases
- Send and receive messages between services
- Monitor queue depth and message metrics
- Process and manage message workflows
Similar integrations
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