KQL
Execute KQL queries within AI prompts, analyze results, and visualize data from Kusto and Log Analytics.
Acerca de
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
- 8 GitHub stars
- Execute KQL queries directly within AI prompts
- Visualization-ready output with Markdown tables
- Plug-and-play authentication via Azure CLI
- Full compatibility with MCP protocol version 2024-11-05
- Seamless integration with Claude Desktop and VS Code
Casos de Uso
- Analyzing Kusto and Log Analytics data within AI chat interfaces
- Streamlining threat hunting and security investigations using KQL queries in AI prompts
- Developing and testing KQL queries with immediate feedback and visualization within VS Code or Claude Desktop