Ask Your IBM MQ Estate Anything: AI Natural Language Queries Cheat Sheet

Ready-to-Use Natural Language Prompts for any AI model

Primary Use Case 1 - General diagnostics

Example Prompts

“Show me all queues with a depth over 500.”

“What’s the oldest message age on the PAYMENTS.QUEUE?”

“Are there any channels currently in a RETRYING state?”

“Which queue manager is using the most CPU right now?”

“List all channels that have been inactive for more than an hour.”

Primary Use Case 2 - Channel troubleshooting

“Show me the status of all SVRCONN-type channels.”

“Which channels are currently stopped and why?”

Primary Use Case 3 - Performance and health checks

“How many messages passed through the SYSTEM.CLUSTER.TRANSMIT.QUEUE in the last hour?”

“What’s the average response time for messages on the CORE.ORDER.QUEUE?”

“Is there any queue close to being full?”

“Which queue has the highest CPU usage trend this week?”

Primary Use Case 4 - Reporting and audits

“Generate a report of all queues where the depth has grown over 50% in the last 24 hours.”

“Show me the IP addresses currently connected via channel TO.BANK.”

“What are the top 5 busiest queue managers by throughput?”

Primary Use Case 5 - Using the AI MCP Server

Contextual follow-ups: “Now show me the last 10 failed transactions from that queue.”

Integrate with command execution: After identifying a critical issue, a command could be triggered in a controlled environment (e.g., “Start the channel TO.BANK.”).

Integrate with runbooks: Connect the AI to an internal knowledge base (“What is the standard procedure for a queue with a depth over 90%?”).

Notes: At-a-glance cheat sheet and a library of ready-to-use prompts for Lamaxu‘s AI MCP Server

Target Audience: MQ administrators seeking to offload manual queries and IT managers/administrators exploring AI tooling

Date: 2 May 2026