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Showing content from https://github.com/hiromitsusasaki/raindrop-io-mcp-server below:

hiromitsusasaki/raindrop-io-mcp-server: An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).

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

• Create bookmarks
• Search bookmarks
• Filter by tags

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

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

npx -y @smithery/cli install @hiromitsusasaki/raindrop-io-mcp-server --client claude

1. Clone the repository:

git clone https://github.com/hiromitsusasaki/raindrop-io-mcp-server
cd raindrop-io-mcp-server

1. Install dependencies:

1. Set up environment variables:

• Create a .env file and set your Raindrop.io API token

RAINDROP_TOKEN=your_access_token_here

1. Build:

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

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)

Searches through bookmarks.

Parameters:

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

# Build for development
npm run build

# Start server
npm start

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

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

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

• Model Context Protocol
• Raindrop.io API Documentation

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