Umami Analytics
Summary
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.
Available Actions(10)
get_websites
Retrieve a list of websites and their IDs in your Umami account.
get_website_stats
Get key metrics like pageviews, visitors, and bounce rate for a website.
get_website_metrics
Analyze specific metrics like URLs, referrers, browsers, and countries.
get_pageview_series
Get time-series pageview data with customizable intervals.
get_active_visitors
Monitor the current number of active visitors on a website.
get_session_ids
Retrieve session IDs for specific events or time periods.
get_tracking_data
Get detailed activity data for a specific session ID.
get_docs
Perform semantic search on many user journeys, returning the most relevant chunks for a given question.
get_screenshot
Capture visual snapshots of webpages.
get_html
Retrieve and analyze webpage HTML source code.
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