Umami Analytics

This MCP server implementation provides a bridge to Umami analytics data, enabling AI assistants to analyze website performance and user behavior. Developed by jakeyShakey, it offers tools for retrieving website statistics, metrics, pageview data, and user session information. The server integrates with the Umami API and incorporates semantic search capabilities for efficient analysis of user journeys. It also features web crawling functionality to capture screenshots and HTML source code of webpages. Built with Python and designed for easy setup within Claude Desktop, this implementation is particularly useful for generating data-driven insights, creating custom analytics dashboards, and improving website performance based on user interaction patterns.