Raindrop.io MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Raindrop.io MCP Serversave this link to my machine learning collection"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🌧️ Raindrop.io MCP Server
Overview
Raindrop.io is an all-in-one bookmark manager. This MCP server integration lets you manage your bookmarks programmatically—add, search, and organize your favorite links right from your LLM apps.
✨ Features
Add a bookmark (with tags, description, collection)
Get latest bookmarks
Search bookmarks by tag
Search bookmarks by keyword/text
🚀 Quickstart
Prerequisites
Python 3.11
UV package manager
curl -LsSf https://astral.sh/uv/install.sh | sh
uv activate && uv installMCP Server Configuration
Grab an API token from Raindrop.io Developer Portal
Add the following to your MCP config:
{
"mcpServers": {
"Raindrop": {
"command": "uv",
"args": [
"--directory",
"<location to project clone>",
"run",
"raindrop.py"
],
"env": {
"RAINDROP_TOKEN": "<your_raindrop_token>"
}
}
}
}Restart your LLM app (Claude, Cursor, etc.)
📦 Install via Smithery
Install automatically for Claude Desktop:
npx -y @smithery/cli install @sachin-philip/raindrop-io-mcp --client claude🛠️ Supported Commands
Add a bookmark (with tags, description, collection)
Get latest bookmarks
Search bookmarks by tag
Search bookmarks by keyword/text
... More to follow
📝 License
MIT
🙌 Credits
Built by Sachin Philip
This server cannot be installed
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