A Model Context Protocol (MCP) server implementation that provides seamless integration between Chrome bookmarks and AI assistants. This server enables AI models to access, search, analyze, and manage Chrome bookmarks through a standardized protocol.
A local-first MCP server that turns browser bookmark exports into a searchable knowledge base with classification, merging, full-text indexing, and Chrome integration.
Unified MCP server for browser automation (Playwright + CDP + CLI) and bookmark management across Chrome, Firefox, Edge, and Brave, including cross-browser sync, deduplication, and a React dashboard.
Enables AI assistants to search, browse, add, and delete Chrome and Edge bookmarks through the MCP protocol, using a local FastMCP server that directly reads and modifies browser bookmark files.
A local MCP server that gives saved bookmarks a lifecycle with time-based layers (pending, watching, kept, lapsed), so they get decided on instead of accumulating. It aggregates bookmarks from your browsers, drips them into a daily queue, and supports keep/watch/drop decisions, restore, and undo.
