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
Receive messages or task info published via messaging queues.
Example
"Fetch latest task message from queue 'process_orders'."
Memory Recall
Retrieve historical insights, data patterns, or configuration changes in RabbitMQ to support current analysis and decisions.
Example
"Get queue configuration history and delivery failure logs in RabbitMQ."
Instant Reaction
Notify dev team when RabbitMQ queue length exceeds threshold.
Example
"Send alert if queue length > 100 for order-processing jobs."
Autonomous Routine
Monitor message queue activity and performance.
Example
"Generate hourly report on message throughput and latency."
Agent-Initiated Action
Auto-scale consumers based on queue length.
Example
"Add worker instance if queue size > 200 for 10 minutes."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Kafka
Process queue-based messages
Slack
Alert on message failures
Google Sheets
Track message success rate
Try It with Your Agent
Example Prompt:
"Track RabbitMQ messages, log success rates to Sheets, and notify engineers on failures via Slack."
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect RabbitMQ in Fastn UCL: Navigate to the Connectors section and select RabbitMQ to connect.
2
Authenticate using your RabbitMQ host, port, and credentials.
3
Enable the actions “publish_message” and “consume_queue” in the Actions tab.
4
Use the AI Agent: Try prompts like “Send message to task queue” or “Process latest queue event.”
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
