Execute KQL queries within AI prompts, analyze results, and visualize data from Kusto and Log Analytics.
Sponsored
A Model Context Protocol (MCP) server designed to enable the execution of Kusto Query Language (KQL) queries directly within AI prompts. It seamlessly integrates with popular environments like Claude Desktop and Visual Studio Code, allowing users to run complex queries against Azure Data Explorer clusters. The server simplifies the authentication process by leveraging Azure CLI, eliminating manual tenant ID configuration, and provides robust capabilities for analyzing and visualizing query results, making data exploration intuitive and efficient within an AI-driven workflow.
Características Principales
018 GitHub stars
02Execute KQL queries directly within AI prompts
03Visualization-ready output with Markdown tables
04Plug-and-play authentication via Azure CLI
05Full compatibility with MCP protocol version 2024-11-05
06Seamless integration with Claude Desktop and VS Code
Casos de Uso
01Analyzing Kusto and Log Analytics data within AI chat interfaces
02Streamlining threat hunting and security investigations using KQL queries in AI prompts
03Developing and testing KQL queries with immediate feedback and visualization within VS Code or Claude Desktop
