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Raindrop.io MCP Server

Raindrop.io MCP Server

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github.com/hiromitsusasakiProductivity74Updated 73w ago
Repository

About Raindrop.io MCP Server

Raindrop.io MCP Server is an MCP server that lets LLMs interact with Raindrop.io bookmarks. It is aimed at users who want to manage bookmarks from within an assistant conversation and is built on Node.js.

Key features

  1. 01Create bookmarks
  2. 02Search bookmarks
  3. 03Filter bookmarks by tags
  4. 04Configuration for Claude for Desktop

Use cases

  1. 01Saving web pages as Raindrop.io bookmarks through an LLM
  2. 02Finding existing bookmarks by keyword or tag
#raindrop-io#modelcontextprotocol

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "raindrop-io": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Raindrop.io MCP Server

smithery badge

An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).

Raindrop.io Server MCP server

Features

  • Create bookmarks
  • Search bookmarks
  • Filter by tags

Requirements

  • Node.js 16 or higher
  • Raindrop.io account and API token

Setup

Installing via Smithery

To install Raindrop.io Integration for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @hiromitsusasaki/raindrop-io-mcp-server --client claude
Manual Installation
  1. Clone the repository:
git clone https://github.com/hiromitsusasaki/raindrop-io-mcp-server
cd raindrop-io-mcp-server
  1. Install dependencies:
npm install
  1. Set up environment variables:
  • Create a .env file and set your Raindrop.io API token
RAINDROP_TOKEN=your_access_token_here
  1. Build:
npm run build

Using with Claude for Desktop

  1. Open Claude for Desktop configuration file:
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  1. Add the following configuration:
{
  "mcpServers": {
    "raindrop": {
      "command": "node",
      "args": ["PATH_TO_BUILD/index.js"],
      "env": {
        "RAINDROP_TOKEN": "your_access_token_here"
      }
    }
  }
}
  1. Restart Claude for Desktop

Available Tools

create-bookmark

Creates a new bookmark.

Parameters:

  • url: URL to bookmark (required)
  • title: Title for the bookmark (optional)
  • tags: Array of tags (optional)
  • collection: Collection ID (optional)
search-bookmarks

Searches through bookmarks.

Parameters:

  • query: Search query (required)
  • tags: Array of tags to filter by (optional)

Development

# Build for development
npm run build

# Start server
npm start

Security Notes

  • Always manage API tokens using environment variables
  • Set appropriate permissions for Claude for Desktop configuration files
  • Restrict unnecessary file access

Open Source

This is an open source MCP server that anyone can use and contribute to. The project is released under the MIT License.

Contributing

Contributions are welcome! Feel free to submit issues, feature requests, or pull requests to help improve this project.

Related Links

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.