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Umami

Integrates Umami Analytics with various MCP-compatible clients, enabling AI assistants to access website visitor data.

Acerca de

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.

Características Principales

  • 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

Casos de Uso

  • 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.