Hey everyone! Maker here. I built Bookmarx AI because I was drowning in my own bookmarks. I'd save interesting articles, tweets, and videos all day — then never find them when I actually needed them. Sound familiar? The breaking point was when I realized how I actually use bookmarks now. I'm constantly saving articles about new techniques, tutorials, API docs, code snippets — stuff I want to come back to and actually use. But when it's time to build, I can never find the thing I saved. So I thought — what if I could just tell my AI agent "find that article about persistent memory and implement it" and it actually could? That's where the MCP server comes in. You plug your Bookmarx library into your AI agent, and now it has access to everything you've ever saved. Your bookmarks become your agent's long-term memory. Instead of you tracking down the link, copying the content, and pasting it into a prompt — your agent just searches your library, finds the relevant bookmark, reads it, and gets to work. Save once, use forever. That's the vision: your bookmarks aren't just a graveyard of links you'll never revisit. They're a growing knowledge base that makes you and your AI tools smarter over time. Would love to hear how you're using bookmarks in your AI workflows. Happy to answer any questions!

Bookmarx AI

Save anything, search by meaning, chat with your library

Save anything, search by meaning, chat with your library