🌧️ Raindrop.io MCP Server

What is 🌧️ Raindrop.io MCP Server?

This server integrates the Raindrop.io bookmark manager with LLM applications, allowing you to add, search, and organize bookmarks programmatically. It is intended for users who want to manage their Raindrop.io bookmarks directly from AI tools like Claude or Cursor.

How to use 🌧️ Raindrop.io MCP Server?

Install Python 3.11 and the UV package manager. Get an API token from the Raindrop.io Developer Portal, then add the MCP server configuration (command uv, arguments pointing to the project directory and raindrop.py, and the RAINDROP_TOKEN environment variable) to your LLM app’s MCP config. Restart your app. Alternatively, install automatically via Smithery.

Key features of 🌧️ Raindrop.io MCP Server

• Add a bookmark with tags, description, and collection
• Retrieve the latest bookmarks
• Search bookmarks by tag
• Search bookmarks by keyword or text

Use cases of 🌧️ Raindrop.io MCP Server

• Save a link from an LLM conversation directly to Raindrop.io
• Quickly fetch and review your most recent bookmarks
• Organize bookmarks by searching specific tags
• Find a bookmark by describing its content or keywords

FAQ from 🌧️ Raindrop.io MCP Server

What are the prerequisites?

You need Python 3.11 and the UV package manager installed.

How do I get a Raindrop.io API token?

Go to the Raindrop.io Developer Portal (https://developer.raindrop.io/v1/authentication/token) and generate a token.

How do I configure the MCP server?

Add a block to your MCP configuration with command: "uv", args pointing to the directory and raindrop.py, and env containing RAINDROP_TOKEN with your token. Restart your LLM application.