# KQL

> Use this tool when you need to analyze and explore log data, investigate security threats, or perform data exploration across Azure Monitor, Microsoft Sentinel, and other KQL-compatible services. It enables AI assistants to write and execute Kusto Query Language (KQL) queries, supporting various workflows such as log analytics and security investigations. With KQL, AI agents can input queries and receive output results, facilitating data-driven insights and decision-making.

Canonical page: https://skillsregistry.net/skills/rod-trent-kql  
JSON: https://api.skillsregistry.net/v1/skills/rod-trent-kql

## Description

Enables AI assistants to write, execute, and analyze Kusto Query Language (KQL) queries against Azure Monitor, Microsoft Sentinel, and other KQL-compatible data services. Supports log analytics, security investigations, and data exploration workflows using the KQL query syntax.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rod-trent-kql)
- **Repository:** <https://github.com/rod-trent/kql-mcp>

## 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": "rod-trent-kql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rod-trent-kql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rod-trent-kql/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