# Azure Data Explorer

> Use this tool when you need to analyze data stored in Azure Data Explorer (ADX) or generate insights from logs and metrics. It provides direct access to ADX clusters and databases, enabling the execution of KQL queries, discovery of database resources, and exploration of table schemas. Ideal for AI workflows that require data analysis, the Azure Data Explorer MCP Server accepts client credentials or default Azure credentials as input and returns query results, table schemas, and sampled data as output.

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

## Description

The Azure Data Explorer MCP Server provides AI assistants with direct access to Azure Data Explorer (ADX) clusters and databases through standardized MCP interfaces. Built with Python using FastMCP, it enables executing KQL queries, discovering database resources, exploring table schemas, and sampling data from tables. The implementation supports authentication via client credentials or default Azure credentials and includes tools for listing tables, retrieving schemas, and executing custom queries. Ideal for AI workflows that need to analyze data stored in ADX, generate insights from logs and metrics, or help users explore their ADX resources.

## 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:** database
- **Updated:** 2026-08-26

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adx)
- **Repository:** <https://github.com/pab1it0/adx-mcp-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": "adx"
    }
  }
}
```

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