Browser History Analysis

Analyzes local Firefox and Chrome browser history to provide productivity insights, browsing pattern analysis, and session categorization across 12+ domains with focus scoring and research session detection.

Browser History Analysis MCP server by Eleanor Mazzarella that provides AI assistants with access to local Firefox and Chrome browser history for productivity analysis and browsing pattern insights. The implementation uses SQLite database access to retrieve browsing data, categorizes websites across 12+ domains (social media, development, education, entertainment, etc.), and performs session analysis with productivity metrics, focus scoring, and learning path detection. Built with comprehensive analysis tools including domain statistics, time pattern analysis, rabbit hole detection, and research session identification, it serves users wanting to understand their browsing habits, optimize productivity workflows, or gain insights into their digital consumption patterns through conversational analysis of their browser history data.