Raindrop.io MCP

Raindrop.io is a polished bookmark manager with tagging, collections, and full-text search. This MCP server gives Claude direct access to your Raindrop account so you can save links, search your archive, and filter by tags without opening a browser tab. It's built by Hiromitsu Sasaki and uses the official Raindrop API, so you're working with the same data you'd see in the web app or mobile client. I'd reach for this when I'm already in a Claude chat and want to capture something mid-conversation. Say you're researching a topic and Claude surfaces a useful link. Instead of switching contexts, you can ask Claude to save it to Raindrop with relevant tags. Later, you can search your archive by keyword or filter by tag without leaving the chat. It's particularly useful for read-later workflows where you're triaging links in bulk or building a research collection over multiple sessions. The server supports creating bookmarks, searching your existing archive, and filtering by tags. Tag support is the standout feature here, because Raindrop's strength is organisation, and tags are how most people structure their collections. You can add multiple tags when saving a link, then query by tag later to pull up everything you've saved on a topic. Quirks: you need a Raindrop API token, which means digging into account settings. The setup is straightforward if you've done MCP config before, but if you're new to environment variables, expect a few minutes of fumbling. The server doesn't expose Raindrop's collection hierarchy, so if you rely heavily on nested collections rather than tags, you'll miss that structure. Also, no support for annotations or highlights, which Raindrop Pro users might expect. Who shouldn't bother: if you don't already use Raindrop, this won't convert you. It's a bridge, not a replacement. If you're happy with browser bookmarks or a different read-later service, there's no reason to add Raindrop to your stack just for this. But if you're already a Raindrop user and you spend time in Claude Desktop, this is a small quality-of-life win that compounds over weeks of research work.