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Azure Log Analytics MCP Server: Natural Language Insights - MCP Implementation

Azure Log Analytics MCP Server: Natural Language Insights

Ask questions like a pro—Azure Log Analytics MCP Server decodes cloud data instantly with natural language queries. No more complex scripts, just smart insights." )

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About Azure Log Analytics MCP Server

What is Azure Log Analytics MCP Server: Natural Language Insights?

This server acts as a bridge between human intuition and Azure's data goldmine. By leveraging Claude AI’s natural language processing, it translates your everyday questions into precise Kusto Query Language (KQL) commands, executing them directly against your Log Analytics workspace. Think of it as a data interpreter for engineers who hate writing SQL-like queries but love getting instant answers.

How to use Azure Log Analytics MCP Server: Natural Language Insights?

Two modes, one goal: get answers fast. Use the CLI for quick ad-hoc queries like "Show me failed login attempts today" or set up the MCP server for seamless integration with large language models. Configuration is straightforward—set your API keys, tweak a few lines in azure-service.ts, and you’re ready to turn vague ideas into actionable data.

Azure Log Analytics MCP Server Features

Key Features of Azure Log Analytics MCP Server: Natural Language Insights?

  • AI-powered query magic: Claude AI translates your English into KQL—no more memorizing syntax
  • Direct Azure integration: Leverages existing workspace credentials via Azure CLI
  • LLM-friendly output: Results formatted for easy digestion by models like GPT or Bard
  • Flexible deployment: CLI for troubleshooting, MCP server for automated workflows

Pro tip: Pair this with observability tools for real-time anomaly detection!

Use cases of Azure Log Analytics MCP Server: Natural Language Insights?

Imagine asking:

  • "List all 500 errors in the last hour sorted by severity"
  • "Find CPU spikes across all web servers yesterday"
  • "Show top 10 most frequent API failures this week"

Azure Log Analytics MCP Server FAQ

FAQ from Azure Log Analytics MCP Server: Natural Language Insights?

Q: Do I need a specific Azure plan?
A: Any subscription with Log Analytics workspace works—just ensure proper IAM permissions.

Q: Can it handle complex time ranges?
A: Yes! "Last business quarter", "since last deployment", and "between 9 AM and 5 PM EST" all work intuitively.

Q: How does cost work?
A: Claude API costs apply for natural language processing—budget for ~$0.0001 per query.

Content

Azure Log Analytics MCP Server

An MCP (Model Context Protocol) server for querying Azure Log Analytics using natural language. This server allows large language models to convert natural language queries into KQL (Kusto Query Language) and execute them against Azure Log Analytics.

Features

  • Convert natural language queries to KQL using Claude AI
  • Execute KQL queries against Azure Log Analytics
  • Format results for easy consumption by LLMs
  • CLI mode for direct interactions and MCP server mode for LLM integrations

Prerequisites

  • Node.js 18.x or higher
  • An Azure subscription with Log Analytics workspace
  • An Anthropic API key for Claude AI
  • Azure CLI configured with appropriate credentials

Installation

# Clone the repository
git clone https://github.com/MananShahTR/azure-log-analytics-mcp.git
cd azure-log-analytics-mcp

# Install dependencies
npm install

# Build the project
npm run build

Configuration

The server requires the following environment variables:

  • ANTHROPIC_API_KEY: Your Anthropic API key for Claude AI

Azure credentials are obtained through Azure CLI credentials. Ensure you're logged in with az login before running the server.

You'll need to configure the following in the azure-service.ts file:

  • subscriptionId: Your Azure subscription ID
  • resourceGroup: The resource group containing your App Insights resource
  • appInsightsId: The name of your Application Insights resource

Usage

CLI Tool

# Run as a CLI tool
ANTHROPIC_API_KEY=your_key_here node build/index.js

MCP Server

# Run as an MCP server
ANTHROPIC_API_KEY=your_key_here node build/mcp-server.js

MCP Settings Configuration

Add the following to your MCP settings configuration file:

{
  "mcpServers": {
    "azure-log-analytics": {
      "command": "node",
      "args": ["path/to/azure-log-analytics-mcp/build/mcp-server.js"],
      "env": {
        "ANTHROPIC_API_KEY": "your_key_here"
      }
    }
  }
}

Tool Usage

Once connected, the MCP server provides the following tool:

  • query_logs: Query Azure Log Analytics using natural language
    • Parameters:
      • query: Natural language query about trace logs (required)
      • timeRange: Optional time range (e.g., "last 24 hours", "past week")
      • limit: Maximum number of results to return

Examples

// Example MCP tool use
use_mcp_tool({
  server_name: "azure-log-analytics",
  tool_name: "query_logs",
  arguments: {
    query: "Show me all errors in the authentication service from the last hour",
    timeRange: "last hour",
    limit: 10
  }
});

License

MIT

Related MCP Servers & Clients

azure-log-analyticsmcp-server

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