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 retrieve message queue status, delivery attempts, or subscription details from Azure Service Bus.
Example
"Get active message count in the 'invoice-processing' queue."
Memory Recall
Access message queue usage history and delivery outcomes.
Example
“Get Service Bus message delivery failures from the ‘PaymentQueue’ topic.”
Instant Reaction
Notify developers when message delivery fails in Azure Service Bus.
Example
"Send alert if dead-letter queue fills up or message retry fails."
Autonomous Routine
Monitor message throughput and queue depth.
Example
"Run hourly health check of Service Bus queue length."
Agent-Initiated Action
Auto-retry or reroute undelivered messages.
Example
"Redirect messages to fallback topic on repeated failure."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Azure Functions
Process messages as they arrive
Power BI
Analyze message flow over time
Slack
Notify teams when queue exceeds threshold
Try It with Your Agent
Example Prompt:
"When Azure Service Bus queue exceeds 1000 items, trigger a function and alert the engineering team."
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Azure Service Bus in Fastn UCL: Navigate to the Connectors section and select Azure Service Bus, then click Connect.
2
Authenticate using Azure credentials and authorize message bus access.
3
Enable “send_message” and “receive_message” in the Actions tab.
4
Use the AI Agent to exchange messages or manage queues by issuing relevant prompts.
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
