Querying Servers for Azure Log Analytics Using Natural Language
What is the Azure Log Analytics MCP Server?
The Azure Log Analytics MCP server is a Model Context Protocol server for querying Azure Log Analytics using natural language, allowing users to transform their queries into Kusto Query Language (KQL) and execute them seamlessly.
How to use Azure Log Analytics MCP Server?
To use this server, clone the repository, install the dependencies, and then run it, either as a CLI tool or as an MCP server, providing your Anthropic API key and Azure credentials.
What are the key features of Azure Log Analytics MCP Server?
- Convert natural language queries to KQL using Claude AI.
- Perform KQL queries against Azure Log Analytics.
- Formatting results for easy consumption of large language models (LLMs).
- CLI mode and MCP server mode are supported for integration.
Azure Log Analytics MCP server use case?
- Query specific log data in Azure Log Analytics using natural language.
- Integration with LLMs for enhanced data analysis and reporting.
- Simplify log queries for users unfamiliar with KQL.
FAQ for Azure Log Analytics MCP Server?
- What are the prerequisites for using this server?
You'll need Node.js 18.x or later, an Azure subscription with a log analysis workspace, Claude AI's Anthropic API key, and the Azure CLI configured with the appropriate credentials.
- Does the server have a specific way of running?
Yes, you can run it as a CLI tool or MCP server using the commands provided in the documentation.
- Can I customize the query?
Yes, you can customize the natural language query to get the specific log data you need.
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