Raindrop.io MCP Server

Connect Raindrop.io to your AI assistant with a simple MCP server. Use it to organize, search, and manage bookmarks with natural language.

Raindrop.io now also offers a hosted Streamable HTTP MCP endpoint (https://api.raindrop.io/rest/v2/ai/mcp) in beta for Pro users. Use that when its hosted toolset is sufficient; use this package for local stdio, self-hosted HTTP, and its additional library-management tools.

What it can do

• Create, update, and delete collections and bookmarks
• Search bookmarks by tags, domain, type, date, and more
• Manage tags (list, rename, merge, delete)
• Read highlights from bookmarks
• Bulk edit bookmarks in a collection
• Audit broken links and duplicates, and manage trash

Tools

• diagnostics - Server diagnostic information and library health metrics
• collection_list - List all collections as a flat list
• get_collection_tree - Hierarchical view of collections with full breadcrumb paths
• collection_manage - Create, update, or delete collections
• bookmark_search - Advanced search with filters, tags, and pagination
• bookmark_manage - Create, update, or delete bookmarks
• get_raindrop - Fetch a single bookmark by ID
• list_raindrops - List bookmarks for a collection with pagination
• get_suggestions - AI-powered organization advice (tags/collections) for a URL or bookmark
• suggest_tags - Suggest relevant tags from bookmark metadata using AI-assisted analysis
• bulk_edit_raindrops - Bulk update, move, or remove bookmarks in a specific collection
• tag_manage - Rename, merge, or delete tags
• highlight_manage - Create, update, or delete highlights
• library_audit - Scan library for broken links, duplicates, and untagged items
• empty_trash - Permanently empty the trash (requires confirmation)
• cleanup_collections - Remove empty collections (requires confirmation)
• remove_duplicates - Find and remove duplicate bookmarks with safe confirmation flow

Install

Quick Start (One-Liners)

Note: For tools adding an MCP server via npx, you must have the RAINDROP_ACCESS_TOKEN environment variable set in your shell or the tool's environment config.

Vercel Skills (npx skills)

This project is compatible with the Vercel Skills system. All necessary manifests are present:

• manifest.json: Standard MCP manifest for server definition.
• SKILL.md: Standardized skill description for agent discovery.
• mcp.json: Root configuration for MCP clients and registries.

To add this server to your local skill directory:

npx skills add adeze/raindrop-mcp --global