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Azure Log Analytics MCP Server

@MananShahTR

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基本情報

カテゴリ

データと分析

トランスポート

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作者

MananShahTR

Azure Log Analytics MCP Server について

MCP server for querying Azure Log Analytics using natural language

#azure-log-analytics#mcp-server#natural-language-query

Azure Log Analytics 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": {
    "azure-log-analytics-mcp": {
      "command": "node",
      "args": [
        "build/index.js"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your_key_here"
      }
    }
  }
}

Azure Log Analytics MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Azure Log Analytics MCP Server?

An MCP (Model Context Protocol) server that lets large language models convert natural language queries into KQL (Kusto Query Language) and execute them against Azure Log Analytics workspaces.

How to use Azure Log Analytics MCP Server?

Install Node.js 18+, clone the repo, install dependencies, build, and set ANTHROPIC_API_KEY and Azure CLI credentials. Run node build/index.js for CLI mode or node build/mcp-server.js for MCP server mode. Then configure MCP settings to add the azure-log-analytics server and use the query_logs tool.

Key features of Azure Log Analytics MCP Server

  • Converts natural language to KQL using Claude AI
  • Executes KQL queries against Azure Log Analytics
  • Formats results for easy consumption by LLMs
  • Supports both CLI and MCP server modes
  • Provides optional time range and result limit parameters

Use cases of Azure Log Analytics MCP Server

  • Query Azure trace logs using plain English instead of KQL
  • Diagnose errors or service issues via natural language conversation
  • Generate quick reports from Application Insights data with minimal syntax

よくある質問

1

What dependencies does it require?

Node.js 18.x or higher, an Azure subscription with a Log Analytics workspace, an Anthropic API key, and Azure CLI configured with appropriate credentials.

2

How do I configure Azure credentials?

Azure credentials are obtained through the Azure CLI. You must run `az login` before using the server, and set the subscription ID, resource group, and Application Insights resource name in the `azure-service.ts` file.

3

What transport or authentication does it use?

The server uses standard MCP transport (command/args via JSON config) and authenticates to Azure via Azure CLI credentials.

4

What is the main tool it provides?

The server exposes one tool: `query_logs`, which accepts a natural language `query` (required), an optional `timeRange` (e.g., "last 24 hours"), and an optional `limit` (max results).

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