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 over 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 command line tool or as an MCP server, requiring 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.
Application Scenarios for Azure Log Analytics MCP Server?
- 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.
Azure Log Analytics MCP Server FAQ?
- 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.
-
￥Download for freeDownload after commentDownload after login
- {{attr.name}}:
📢 Disclaimer | Tool Use Reminder
1️⃣ The content of this article is based on information known at the time of publication, AI technology and tools are frequently updated, please refer to the latest official instructions.
2️⃣ Recommended tools have been subject to basic screening, but not deep security validation, so please assess the suitability and risk yourself.
3️⃣ When using third-party AI tools, please pay attention to data privacy protection and avoid uploading sensitive information.
4️⃣ This website is not liable for direct/indirect damages due to misuse of the tool, technical failures or content deviations.
5️⃣ Some tools may involve a paid subscription, please make a rational decision, this site does not contain any investment advice.