# Azure Data Explorer MCP Server

> Use this tool when you need to analyze and explore large datasets in Azure Data Explorer using KQL queries, solving problems related to data discovery and querying. It takes KQL queries as input and returns relevant data and database resources, such as tables and schemas, as output. Ideal for use cases where data insights and exploration are required, such as data analysis, reporting, and business intelligence.

Canonical page: https://skillsregistry.net/skills/minaseem-adx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/minaseem-adx-mcp

## Description

Enables AI assistants to execute KQL queries against Azure Data Explorer and explore database resources like tables and schemas.

## 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:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ogqryl0zrs)
- **Repository:** <https://github.com/minaseem/adx_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": "minaseem-adx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/minaseem-adx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/minaseem-adx-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