Provides comprehensive analysis and insights into local browser history data from multiple browsers.
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A local Model Context Protocol (MCP) server that provides access to browser history data for comprehensive analysis and insights. Built using the official Python MCP SDK, this tool enables deep dives into your browsing habits across multiple browsers like Firefox, Chrome, and Safari. It offers intelligent time-based clustering for sessions, automatic categorization of websites, and advanced analytics for productivity metrics and learning patterns, all processed locally to ensure user privacy.
Key Features
01Automated Website Categorization
02Multi-Browser Support (Firefox, Chrome, Safari)
031 GitHub stars
04Privacy-First Local Data Processing
05Intelligent Session Analysis and Clustering
06Productivity and Learning Metrics Calculation
Use Cases
01Analyze personal browsing habits for productivity and learning insights
02Extract and summarize research topics from browsing history
03Generate personalized reports on browsing activity and behavior
