MCP KQL Server

Overview

MCP KQL Server is a Model Context Protocol (MCP) server: Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration. Because it speaks the Model Context Protocol, AI assistants can use MCP KQL Server as a set of callable tools instead of you copy-pasting between apps.

It runs locally: the Python package mcp-kql-server (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v2.1.5.

On mcp.site, MCP KQL Server sits in the AI & Agents category. Any MCP client can use it — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed among them — via the install snippets below. If you maintain MCP KQL Server for 4R9UN, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "mcp_kql_server": {
      "command": "uvx",
      "args": [
        "mcp-kql-server"
      ]
    }
  }
}