# MCP KQL Server

> Use this tool when you need to execute KQL queries in AI prompts, leveraging natural language to KQL (NL2KQL) conversion and schema discovery to simplify data analysis. It solves problems of complex data querying and integration with Azure Data Explorer, providing a seamless interface for inputting natural language prompts and outputting relevant data insights. Ideal for use cases where users want to access and analyze data without writing complex KQL code.

Canonical page: https://skillsregistry.net/skills/io-github-4r9un-mcp-kql-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-4r9un-mcp-kql-server

## Description

Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 2.0.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-07-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.4R9UN%2Fmcp-kql-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-4r9un-mcp-kql-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-4r9un-mcp-kql-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-4r9un-mcp-kql-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt