Sample Prompts
These are some sample prompts to test the MCP
The MCP server can return raw OpenSearch documents, which are token-heavy. For high-volume queries, prefer aggregation endpoints over search endpoints to get summarised results efficiently.
Additionally, attach available resources to your LLM prompt so it understands data mappings and can build accurate filters.
See MCP Server for guidance on choosing the right endpoint.
Log Queries
Search
"Show me today's 10 most recent logs for a client's EC2 applications"
"Show me the error logs for a client's Kubernetes instance client.atrmywizard-aiops.com that occurred around 5pm today"
Aggregation
"Analyse the error rate trend over the past 24 hours for EC2 applications and summarise any spikes"
"Create an analysis of log severity distribution across all applications for the past 24 hours"
"Show me a time-based breakdown of ERROR and WARN logs per hour over the last 12 hours for Quasar"
"Compare the log volume between Kubernetes and EC2 applications over the past week"
"Show me a summary of all FATAL logs from the last 3 days, grouped by client and region"
Workload Queries
Search
"Show me the last 10 completed workflows from the past hour for Kubernetes applications"
Aggregation
"What are the most common workflows completed over the last day, grouped by application type?"
"Analyse workload completion rates over the past 48 hours and highlight any failures"
"What percentage of workflows failed in the last 7 days, broken down by infrastructure type?"
"What are the most common workflows completed over the last day, grouped by application type?"
Ticket Queries
Search
"Show me the latest 5 tickets for EC2 applications in the eu-west-1 region"
Aggregation
"How many critical tickets have been created in the last 7 days?"
"How many tickets were raised this week, grouped by severity?"
"Analyse the tickets mapped to workflows within the last week"
"Show me the trend of ticket creation over the past 14 days, broken down by severity level"