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Raindrop.io MCP Server

@adeze

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

adeze

Raindrop.io MCP Server について

Raindrop MCP Server

#mcp#raindrop#raindrop-api#raindrop-io#mcp-server#mcp-tools

Raindrop.io MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "raindrop-mcp": {
      "command": "npx",
      "args": [
        "skills",
        "add",
        "adeze/raindrop-mcp",
        "--global"
      ]
    }
  }
}

Raindrop.io MCP Server のツール

17

Server diagnostic information and library health metrics

List all collections as a flat list

Hierarchical view of collections with full breadcrumb paths

Create, update, or delete collections

Advanced search with filters, tags, and pagination

Create, update, or delete bookmarks

Fetch a single bookmark by ID

List bookmarks for a collection with pagination

AI-powered organization advice (tags/collections) for a URL or bookmark

Suggest relevant tags from bookmark metadata using AI-assisted analysis

Bulk update, move, or remove bookmarks in a specific collection

Rename, merge, or delete tags

Create, update, or delete highlights

Scan library for broken links, duplicates, and untagged items

Permanently empty the trash (requires confirmation)

Remove empty collections (requires confirmation)

Find and remove duplicate bookmarks with safe confirmation flow

概要

What is Raindrop.io MCP Server?

Connects Raindrop.io — the bookmark management service — to AI assistants via the Model Context Protocol (MCP). It lets you organize, search, and manage bookmarks using natural language commands. Ideal for users who want to control their Raindrop.io library through tools like Claude, Gemini, or other MCP-compatible clients.

How to use Raindrop.io MCP Server?

Install using a one-liner for your AI tool (e.g., npx -y @adeze/raindrop-mcp for most clients, or the MCPB bundle for Claude Desktop) and set the RAINDROP_ACCESS_TOKEN environment variable with your Raindrop.io API token. Alternatively, add the server to your MCP client’s configuration file (mcp.json) with the same command and environment variable.

Key features of Raindrop.io MCP Server

  • Create, update, and delete collections and bookmarks
  • Advanced search with filters (tags, domain, type, date)
  • Manage tags (rename, merge, delete) and highlights
  • Bulk edit bookmarks in a collection
  • Audit library for broken links, duplicates, and untagged items
  • AI-powered organization suggestions for tags and collections

Use cases of Raindrop.io MCP Server

  • Organize a large bookmark collection by creating and moving folders naturally
  • Clean up duplicates, broken links, and empty collections in one session
  • Automate tagging workflows with AI‑assisted suggestions
  • Search bookmarks from your AI assistant without leaving the chat
  • Bulk‑edit or move hundreds of bookmarks across collections

よくある質問

1

What do I need to use this server?

A Raindrop.io account and an API access token from the Raindrop.io integrations settings. The token must be passed as the `RAINDROP_ACCESS_TOKEN` environment variable.

2

How do I set up the API token in my environment?

Export `RAINDROP_ACCESS_TOKEN` as an environment variable in your shell or in your MCP client’s configuration (e.g., `env` field in `mcp.json`).

3

Does this server work with Claude Desktop?

Yes. Download the `raindrop-mcp.mcpb` bundle from the GitHub Releases and add it to Claude Desktop, setting the same environment variable.

4

Are there any dangerous operations that require extra confirmation?

Yes. `empty_trash`, `cleanup_collections`, and `remove_duplicates` require explicit confirmation before executing.

5

Is OAuth available to avoid manual tokens?

OAuth support is planned for a future release. Currently you must provide a manual API access token.

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