raindrop-mcp-server-rs

raindrop-mcp-server

A Model Context Protocol (MCP) server implementation for Raindrop.io, exposing its API as a set of tools for AI agents and automated workflows.

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Table of Contents

1. Quick Start
2. Installation
3. Configuration
4. Usage
5. Requirements
6. Troubleshooting
7. Contributing
8. License

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Quick Start

1. Download the latest binary from GitHub Releases
2. Get API Token from Raindrop.io Settings → Integrations
3. Configure Claude Desktop (claude_desktop_config.json):

   {
     "mcpServers": {
       "raindrop": {
         "command": "/usr/local/bin/raindrop-mcp-server",
         "env": {
           "RAINDROP_ACCESS_TOKEN": "your_token_here"
         }
       }
     }
   }
   

4. Start using: Ask Claude to "Show me all my Raindrop collections"

Installation

Pre-built Binaries (Recommended)

Download from GitHub Releases:

Linux:

wget https://github.com/yamahigashi/raindrop-mcp-server-rs/releases/download/latest/raindrop-mcp-server-linux.tar.gz
tar -xzf raindrop-mcp-server-v0.1.0-linux.tar.gz
chmod +x raindrop-mcp-server-linux
sudo mv raindrop-mcp-server-linux /usr/local/bin/raindrop-mcp-server

Windows:

Invoke-WebRequest -Uri "https://github.com/yamahigashi/raindrop-mcp-server-rs/releases/download/v0.1.0/raindrop-mcp-server-v0.1.0-windows.zip" -OutFile "raindrop-mcp-server.zip"
Expand-Archive -Path "raindrop-mcp-server.zip" -DestinationPath "."
# Move raindrop-mcp-server-windows.exe to a directory in your PATH

From Source

git clone https://github.com/yamahigashi/raindrop-mcp-server-rs.git
cd raindrop-mcp-server-rs
cargo build --release
# Binary: ./target/release/raindrop-mcp-server

Configuration

1. Raindrop.io API Token

1. Log in to Raindrop.io
2. Go to Settings → Integrations
3. Create a new app or select an existing one
4. Generate an access token

2. MCP Client Setup

For Claude Desktop, edit claude_desktop_config.json:

{
  "mcpServers": {
    "raindrop": {
      "command": "/usr/local/bin/raindrop-mcp-server",
      "env": {
        "RAINDROP_ACCESS_TOKEN": "your_raindrop_access_token_here"
      }
    }
  }
}

For development, create .env file:

RAINDROP_ACCESS_TOKEN=your_raindrop_access_token_here
RUST_LOG=info

Usage

Once configured, the MCP server provides the following tools to AI assistants:

Collection Management

• get_collections - List all collections
• get_collection - Get a specific collection
• create_collection - Create a new collection
• update_collection - Update collection properties
• delete_collection - Delete a collection
• share_collection - Share a collection with others

Bookmark Operations

• get_bookmarks - Retrieve bookmarks with filtering
• get_bookmark - Get a specific bookmark
• create_bookmark - Create a new bookmark
• update_bookmark - Update bookmark properties
• delete_bookmark - Delete a bookmark
• search_bookmarks - Search bookmarks with advanced filters
• batch_update_bookmarks - Update multiple bookmarks at once
• batch_delete_bookmarks - Delete multiple bookmarks

Tag Management

• get_tags - List all tags or tags from a specific collection
• rename_tag - Rename a tag across all bookmarks
• delete_tag - Delete a single tag
• delete_tags - Delete multiple tags

Highlights

• get_highlights - Get highlights for a specific bookmark
• get_all_highlights - Get all highlights across bookmarks

User & Utility

• get_user_info - Get user account information
• get_user_stats - Get usage statistics
• empty_trash - Permanently delete all trashed bookmarks
• export_bookmarks - Export bookmarks in various formats
• get_import_status - Check import operation status
• get_export_status - Check export operation status

Example Interactions

Here are some example prompts you can use with an AI assistant:

• "Show me all my Raindrop collections"
• "Create a new collection called 'AI Research'"
• "Save this article to my 'Reading List' collection"
• "Find all bookmarks tagged with 'rust' and 'programming'"
• "Move all bookmarks from 'Unsorted' to 'Archive' collection"
• "Export my 'Work' collection as a CSV file"
• "Show me all highlights from the past week"

Requirements

For End Users (Pre-built Binaries)

• Operating System: Linux (x86_64) or Windows (x86_64)
• Raindrop.io Account: Valid API access token required

For Developers (Building from Source)

• Rust: 1.85 or later
• Operating System: Linux (x86_64) or Windows (x86_64)
• Raindrop.io Account: Valid API access token required

Troubleshooting

Common Issues

"Permission denied" when running the binary

chmod +x raindrop-mcp-server-linux

"RAINDROP_ACCESS_TOKEN not found"

• Ensure the token is set in your MCP client configuration
• Verify the token is valid at Raindrop.io Settings

"Connection refused" or timeout errors

• Check your internet connection
• Verify Raindrop.io API is accessible from your network

Claude Desktop not recognizing the server

• Restart Claude Desktop after configuration changes
• Check claude_desktop_config.json syntax with a JSON validator
• Verify the binary path is correct and executable

Debug Mode

Enable detailed logging:

RUST_LOG=debug /usr/local/bin/raindrop-mcp-server

License

This project is licensed under the MIT License - see the LICENSE file for details.