# KQL MCP Server

> Use this tool when you need to analyze and query large datasets in Azure services, such as Azure Data Explorer, Log Analytics, and Microsoft Sentinel, using Kusto Query Language (KQL). It solves problems related to data exploration, filtering, and visualization, providing outputs in the form of query results and insights. Ideal for use cases where complex data analysis is required, with inputs including KQL queries and prompts.

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

## Description

Enables AI assistants to query and analyze data in Azure Data Explorer, Log Analytics, and Microsoft Sentinel using Kusto Query Language (KQL) through tools, resources, and prompts.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ku3wtyo2za)
- **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-mcp"
    }
  }
}
```

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