Umami
byMacawls
0Integrates Umami Analytics with various MCP-compatible clients, enabling AI assistants to access website visitor data.
소개
Umami acts as a bridge, allowing popular AI-powered development environments and tools like Claude Desktop, VS Code (Cline), Cursor, Zed, and Windsurf to connect directly to your self-hosted Umami Analytics instance. By configuring this lean Go-based server, users can leverage natural language prompts within their preferred client to query website statistics, analyze traffic patterns, understand user behavior, and monitor real-time activity, bringing powerful analytics insights directly into their workflow.
주요 기능
- Enables real-time monitoring of active visitors and their current pages
- Connects Umami Analytics to popular MCP clients (Claude Desktop, VS Code, Cursor, Zed, Windsurf)
- Allows querying of detailed metrics like browsers, countries, and devices
- 0 GitHub stars
- Provides access to comprehensive website visitor statistics and pageview data
- Supports flexible configuration via environment variables or a YAML file
사용 사례
- Monitor real-time website activity and user journeys directly from your development environment.
- Analyze website traffic patterns and identify top-performing content or declining articles.
- Generate comprehensive analytics reports for your website using natural language prompts.