What are the prerequisites?
You need Python 3.11 and the UV package manager installed.
@sachin-philip
Basic information
An MCP server for Raindrop.io
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"raindrop.io-mcp": {
"command": "uv",
"args": [
"activate",
"&&",
"uv",
"install"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
You need Python 3.11 and the UV package manager installed.
Go to the Raindrop.io Developer Portal (https://developer.raindrop.io/v1/authentication/token) and generate a token.
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.
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