Azure Log Analytics
Enables querying and managing Azure Log Analytics workspaces using KQL (Kusto Query Language). Supports executing queries, managing saved queries, and exploring workspace tables and schemas with Service Principal authentication.
What is Azure Log Analytics?
Azure Log Analytics is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables querying and managing azure log analytics workspaces using kql (kusto query language). supports executing queries, managing saved queries, and exploring workspace tables and schemas with servi...
Enables querying and managing Azure Log Analytics workspaces using KQL (Kusto Query Language). Supports executing queries, managing saved queries, and exploring workspace tables and schemas with Service Principal authentication.
This server falls under the Cloud Services and Monitoring & Observability categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables querying and managing Azure Log Analytics workspaces
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx azure-log-analytics-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Azure Log Analytics
What is Azure Log Analytics?
Azure Log Analytics is a Model Context Protocol (MCP) server that enables querying and managing azure log analytics workspaces using kql (kusto query language). supports executing queries, managing saved queries, and exploring workspace tables and schemas with service principal authentication. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Azure Log Analytics?
Follow the installation instructions on the Azure Log Analytics GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Azure Log Analytics?
Azure Log Analytics works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Azure Log Analytics free to use?
Yes, Azure Log Analytics is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Azure Log Analytics Alternatives — Similar Cloud Services Servers
Looking for alternatives to Azure Log Analytics? Here are other popular cloud services servers you can use with Claude, Cursor, and VS Code.
Open WebUI
★ 138.2kUser-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Anything LLM
★ 60.4kThe all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.
LocalAI
★ 46.4kLocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
Nacos
★ 33.0kan easy-to-use dynamic service discovery, configuration and service management platform for building AI cloud native applications.
Xiaozhi ESP32
★ 26.7k本项目为xiaozhi-esp32提供后端服务，帮助您快速搭建ESP32设备控制服务器。Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.
Gateway
★ 11.8kA blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Azure Log Analytics in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Azure Log Analytics?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.