azure-kusto
Installation
Summary
Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights.
- Execute KQL queries against massive datasets with sub-second performance, including filtering, aggregation, time series analysis, and cross-table joins
- Discover and explore cluster resources, databases, and table schemas to understand your data model before querying
- Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, join-based correlation, and schema discovery
- Built-in fallback to Azure CLI commands when MCP tools timeout or encounter connection errors
SKILL.md
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.
Overview
This skill enables querying and managing Azure Data Explorer (Kusto), a fast and highly scalable data exploration service optimized for log and telemetry data. Azure Data Explorer provides sub-second query performance on billions of records using the Kusto Query Language (KQL).
Key capabilities:
- Query Execution: Run KQL queries against massive datasets
- Schema Exploration: Discover tables, columns, and data types
- Resource Management: List clusters and databases
- Analytics: Aggregations, time series, anomaly detection, machine learning