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raindrop-mcp

by adeze·★ 163·Score 50

MCP server for Raindrop.io bookmark management with comprehensive tools for organizing, searching, and editing bookmarks through AI assistants.

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Overview

Raindrop-mcp is a comprehensive MCP server that bridges Raindrop.io bookmark management with AI assistants. It provides a rich set of tools for creating, updating, and deleting collections and bookmarks, searching by various criteria, managing tags, reading highlights, and performing bulk operations. The server supports advanced features like AI-powered organization suggestions, hierarchical collection views, and library audit capabilities for broken links and duplicates.

Try asking AI

After installing, here are 3 things you can ask your AI assistant:

you:Organize bookmarks with AI-powered suggestions across collections
you:Search and manage large bookmark libraries efficiently
you:Audit and clean up bookmark collections by finding duplicates and broken links

When to choose this

Choose this if you use Raindrop.io for bookmark management and want AI assistants to help organize and search your bookmarks through the MCP protocol.

When NOT to choose this

Don't choose this if you need to manage bookmarks outside of Raindrop.io or if you're concerned about vendor lock-in to the Raindrop ecosystem.

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Installation

Installation

Quick Start (One-Liners)

| Tool | One-Liner Command | | :----------------- | :----------------------------------------------------------------- | | **Gemini CLI** | gemini extensions install https://github.com/adeze/raindrop-mcp | | **Codex CLI** | codex mcp add raindrop -- npx -y @adeze/raindrop-mcp | | **Claude Code** | claude mcp add raindrop -- npx -y @adeze/raindrop-mcp | | **GitHub Copilot** | gh copilot config mcp add raindrop -- npx -y @adeze/raindrop-mcp | | **Vercel Skills** | npx skills add adeze/raindrop-mcp |

Claude Desktop (MCPB)

Download the latest raindrop-mcp.mcpb from the GitHub Release and add it to Claude Desktop. Set the environment variable:

  • RAINDROP_ACCESS_TOKEN (from your Raindrop.io integrations settings)

Manual MCP config (mcp.json)

Add this to your MCP client configuration:

{
  "servers": {
    "raindrop": {
      "type": "stdio",
      "command": "npx",
      "args": ["@adeze/raindrop-mcp@latest"],
      "env": {
        "RAINDROP_ACCESS_TOKEN": "YOUR_RAINDROP_ACCESS_TOKEN"
      }
    }
  }
}

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GitHub →

Last updated · Auto-generated from public README + GitHub signals.