Azure Data Explorer MCP Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

データと分析

ライセンス

MIT license

トランスポート

stdio

作者

MCP-Mirror

Azure Data Explorer MCP Server について

Mirror of

#mcp #azure#data-explorer

Azure Data Explorer MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "pab1it0_adx-mcp-server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "adx-mcp-server",
        "."
      ]
    }
  }
}

Azure Data Explorer MCP Server のツール

Query

Discovery

概要

What is Azure Data Explorer MCP Server?

Azure Data Explorer MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to execute KQL queries against Azure Data Explorer clusters and explore database resources. It provides standardized MCP interfaces for data discovery and querying.

How to use Azure Data Explorer MCP Server?

Log in to Azure via the Azure CLI, then set environment variables ADX_CLUSTER_URL and ADX_DATABASE. Add the server configuration to your MCP client (e.g., Claude Desktop) using the uv command with the provided JSON example. Optionally, build and run the Docker image for containerized deployment.

Key features of Azure Data Explorer MCP Server

Execute KQL queries against Azure Data Explorer.
List tables in the configured database.
View table schemas and sample data.
Token credential authentication (Azure CLI, MSI, etc.).
Configurable tool selection to limit context window usage.
Docker containerization support.

Use cases of Azure Data Explorer MCP Server

Let an AI assistant answer questions by running live KQL queries.
Quickly discover table schemas and sample data in ADX databases.
Automate data exploration workflows through MCP client integration.
Provide controlled, context-efficient access to ADX for LLM tools.

よくある質問

How do I authenticate to Azure Data Explorer?

Login to your Azure account using the Azure CLI before starting the server. Token credential support includes Azure CLI and Managed Service Identity (MSI).

What environment variables are required?

Two variables must be set: `ADX_CLUSTER_URL` (e.g., `https://yourcluster.region.kusto.windows.net`) and `ADX_DATABASE` (your database name).

Can I deploy this server using Docker?

Yes. A Dockerfile and docker-compose.yml are provided. Build the image with `docker build -t adx-mcp-server .` and run with the required environment variables.

Are the available tools configurable?

Yes, the list of tools is configurable so you can enable only the functionality you need and reduce context window usage.

What license does this project use?

The project is licensed under the MIT License.

「データと分析」の他のコンテンツ

LeadBoxer

Company and contact enrichment: identify the company behind an IP, get firmographics for a domain, and profile a work email.

AQL PropertyCheck — Physical check of one exact address

Alpha Quant Labs

Check one exact Gold Coast or Brisbane City property address. Free address/coverage check and short summary; paid structured Agent JSON adds available building, street and surrounding context, with Brisbane routed journe

Trendos

Gintare Rimolaityte

Trendos is a remote MCP server for AI search visibility data and opportunities available at https://api.trendos.com.

Mentio

Social listening for AI agents. Mentio's remote MCP server lets Claude, Cursor, Codex, VS Code and any MCP client search and triage every mention of your brand, competitors and topics across 16 platforms: Reddit, X, Hack

Texas RRC Wellbore Intelligence

TEOS

Texas RRC oil & gas wellbores: API numbers, completion dates, depth, plug status