Azure Log Analytics MCP Server
MCP server for querying Azure Log Analytics using natural language
Overview
what is Azure Log Analytics MCP Server?
Azure Log Analytics MCP Server is a Model Context Protocol server designed to query Azure Log Analytics using natural language, allowing users to convert their queries into Kusto Query Language (KQL) and execute them seamlessly.
how to use Azure Log Analytics MCP Server?
To use the server, clone the repository, install the dependencies, and run it either as a CLI tool or an MCP server by providing your Anthropic API key and Azure credentials.
key features of Azure Log Analytics MCP Server?
- Converts natural language queries to KQL using Claude AI.
- Executes KQL queries against Azure Log Analytics.
- Formats results for easy consumption by large language models (LLMs).
- Supports both CLI mode and MCP server mode for integrations.
use cases of Azure Log Analytics MCP Server?
- Querying Azure Log Analytics for specific log data using natural language.
- Integrating with LLMs for enhanced data analysis and reporting.
- Simplifying log queries for users unfamiliar with KQL.
FAQ from Azure Log Analytics MCP Server?
- What are the prerequisites for using the server?
You need Node.js 18.x or higher, an Azure subscription with a Log Analytics workspace, an Anthropic API key for Claude AI, and Azure CLI configured with appropriate credentials.
- Is there a specific way to run the server?
Yes, you can run it as a CLI tool or as an MCP server by using the provided commands in the documentation.
- Can I customize the queries?
Yes, you can customize your natural language queries to retrieve specific log data as needed.
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