What is required to use raindrop-mcp?
You need a Raindrop.io account and a generated access token from the Raindrop.io developer settings. The server runs via `npx` so Node.js must be installed.
@egoist
Basic information
An MCP server for Raindrop.io (bookmarking service)
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"raindrop": {
"command": "npx",
"args": [
"-y",
"raindrop-mcp"
],
"env": {
"RAINDROP_ACCESS_TOKEN": "<your-token>"
}
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
An MCP (Model Context Protocol) server that integrates with Raindrop.io, allowing AI assistants to search, create, and manage bookmarks via the Raindrop.io API. It is intended for developers and users who want to give LLM tools access to their Raindrop.io bookmarks and collections.
stdio MCP server by setting the RAINDROP_ACCESS_TOKEN environment variable. 3. Run via npx -y raindrop-mcp. Alternatively, start it as an SSE server with --sse or a streamable HTTP server with --http.You need a Raindrop.io account and a generated access token from the Raindrop.io developer settings. The server runs via `npx` so Node.js must be installed.
It supports stdio (default), SSE (`--sse`), and streamable HTTP (`--http`).
All data lives in your Raindrop.io account. The server only interacts with Raindrop.io’s API and does not store data locally.
Set the environment variable `RAINDROP_ACCESS_TOKEN` to your Raindrop.io test token. This is the only authentication mechanism described.
The README does not list any limitations. The server currently offers three capabilities: search, create bookmarks, and list collections.
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