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
基本情報
An MCP server for Raindrop.io (bookmarking service)
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"raindrop": {
"command": "npx",
"args": [
"-y",
"raindrop-mcp"
],
"env": {
"RAINDROP_ACCESS_TOKEN": "<your-token>"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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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