MCP KQL Server

MCP KQL Server

Natural language to KQL: AI-driven query generation & execution for Azure Data Explorer.

Visit MCP KQL Server
https://github.com/4R9UN/mcp-kql-server
MCP KQL Server preview

About MCP KQL Server

MCP KQL Server is an open-source Model Context Protocol (MCP) server designed to translate natural language (English) questions into optimized and accurate KQL (Kusto Query Language) queries, execute them against Azure Data Explorer, and return structured results. It features intelligent schema discovery and caching, direct KQL execution, strict schema validation, and results visualization, making it ideal for data professionals and AI interface developers aiming to enable AI-powered interactions with Azure Data Explorer and KQL databases.

Resources

Product Website

Visit MCP KQL Server's official website for product details and getting started.

Visit website →

Documentation

Comprehensive guides and API reference for using MCP KQL Server.

View docs →

Issues and Discussions

Community discussions and troubleshooting for MCP KQL Server users.

Join the discussion →

Examples and Use Cases

Explore examples and practical use cases of MCP KQL Server in various scenarios.

Read examples →