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
基本信息
An MCP server for Raindrop.io (bookmarking service)
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"raindrop": {
"command": "npx",
"args": [
"-y",
"raindrop-mcp"
],
"env": {
"RAINDROP_ACCESS_TOKEN": "<your-token>"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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