4R9UN/mcp-kql-server

Kusto and Log Analytics MCP server help you execute a KQL (Kusto Query Language) query within an AI prompt, analyze, and visualize the data.

52
/ 100
Established

This tool helps data analysts and operations engineers quickly get insights from their Azure Data Explorer logs and telemetry. You can ask questions in plain English, and it automatically generates, executes, and visualizes Kusto Query Language (KQL) queries. It takes natural language questions or direct KQL queries as input and outputs analyzed, visualized data in formats like JSON, CSV, or tables.

Available on PyPI.

Use this if you need to analyze large volumes of log and telemetry data in Azure Data Explorer and prefer to ask questions in natural language rather than writing complex KQL queries from scratch.

Not ideal if you primarily work with data sources other than Azure Data Explorer or if you prefer to write all your KQL queries manually without AI assistance.

log-analysis telemetry-analysis azure-data-explorer operations-analytics data-querying
Maintenance 6 / 25
Adoption 6 / 25
Maturity 24 / 25
Community 16 / 25

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Stars

20

Forks

6

Language

Python

License

MIT

Last pushed

Dec 28, 2025

Commits (30d)

0

Dependencies

18

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