Chrome Bookmark MCP Server

Example Use Cases

• 1

  Search and retrieve Chrome bookmarks with advanced filtering.

• 2

  Analyze bookmark usage patterns and gain insights.

• 3

  Real-time synchronization and management of Chrome bookmarks.

Description

This project provides a Model Context Protocol (MCP) server that integrates Chrome bookmarks with AI assistants, allowing intelligent bookmark management, advanced search with ElasticSearch, real-time synchronization, and analytics. It includes a Chrome extension for data export and synchronization, and a Python-based server with REST and WebSocket APIs secured by JWT. The solution supports Docker deployment and caching with Redis for performance.