What dependencies are required?
Node.js 16 or higher, a Raindrop.io account, and an API token stored in the `RAINDROP_TOKEN` environment variable.
@hiromitsusasaki
基本情報
An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).
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-io-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@hiromitsusasaki/raindrop-io-mcp-server",
"--client",
"claude"
]
}
}
}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 integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP). It is designed for users who want to create, search, and filter bookmarks through an AI assistant.
Install via Smithery (npx -y @smithery/cli install @hiromitsusasaki/raindrop-io-mcp-server --client claude) or manually by cloning the repo, installing dependencies, setting the RAINDROP_TOKEN environment variable, and building. For Claude Desktop, add the server configuration to claude_desktop_config.json with the path to the build output and the token.
create-bookmark toolsearch-bookmarks toolNode.js 16 or higher, a Raindrop.io account, and an API token stored in the `RAINDROP_TOKEN` environment variable.
The README does not describe how to obtain the token; refer to the Raindrop.io API documentation.
Add a `raindrop` entry under `mcpServers` in the Claude Desktop configuration file. Specify the command (`node`), the path to `index.js`, and set the `RAINDROP_TOKEN` environment variable.
- `create-bookmark`: requires a URL; optionally accepts a title, tags array, and collection ID. - `search-bookmarks`: requires a query; optionally filters by tags array.
Yes: always manage the API token using environment variables, set appropriate permissions on the Claude Desktop configuration file, and restrict unnecessary file access.

Model Context Protocol Servers
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