azure-kusto
Query and analyze massive datasets in Azure Data Explorer using KQL for logs, telemetry, and time series data.
- Execute KQL queries against billions of records with sub-second performance; discover clusters, databases, and table schemas
- Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, multi-table joins, and schema exploration
- Includes 4 MCP tools (cluster list, database list, query execution, table schema) with Azure CLI fallback for timeouts or connection failures
- Built-in best practices for performance optimization: early filtering, time range constraints, indexed column prioritization, and materialized views for repeated aggregations
Azure Data Explorer (Kusto) Query & Analytics
Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.
Skill Activation Triggers
Use this skill immediately when the user asks to:
- "Query my Kusto database for [data pattern]"
- "Show me events in the last hour from Azure Data Explorer"
- "Analyze logs in my ADX cluster"
- "Run a KQL query on [database]"
- "What tables are in my Kusto database?"
- "Show me the schema for [table]"
- "List my Azure Data Explorer clusters"
- "Aggregate telemetry data by [dimension]"
- "Create a time series chart from my logs"
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