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Raindrop.io MCP Server

@adeze

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

adeze

关于 Raindrop.io MCP Server

Raindrop MCP Server

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

Raindrop.io MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Raindrop.io MCP Server 工具

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

概览

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

常见问题

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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