Integrates Umami Analytics with various MCP-compatible clients, enabling AI assistants to access website visitor data.
Sponsored
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.
Key Features
01Enables real-time monitoring of active visitors and their current pages
02Connects Umami Analytics to popular MCP clients (Claude Desktop, VS Code, Cursor, Zed, Windsurf)
03Allows querying of detailed metrics like browsers, countries, and devices
040 GitHub stars
05Provides access to comprehensive website visitor statistics and pageview data
06Supports flexible configuration via environment variables or a YAML file
Use Cases
01Monitor real-time website activity and user journeys directly from your development environment.
02Analyze website traffic patterns and identify top-performing content or declining articles.
03Generate comprehensive analytics reports for your website using natural language prompts.
