What is KQL Server?
KQL Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to execute kql in ai prompts via nl2kql with schema discovery and azure data explorer integration
Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration
This server falls under the Databases category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Execute KQL in AI prompts via NL2KQL with schema discovery a
Use Cases
Maintainer
Works with
Installation
PIP
pip install mcp-kql-serverManual Installation
pip install mcp-kql-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about KQL Server
What is KQL Server?
KQL Server is a Model Context Protocol (MCP) server that execute kql in ai prompts via nl2kql with schema discovery and azure data explorer integration It connects AI assistants to external tools and data sources through a standardized interface.
How do I install KQL Server?
Install via pip with: pip install mcp-kql-server. Then configure your AI client to connect to this MCP server.
Which AI clients work with KQL Server?
KQL Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is KQL Server free to use?
Yes, KQL Server is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Databases MCP Servers
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Set Up KQL Server in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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