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
基本信息
An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"raindrop-io-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@hiromitsusasaki/raindrop-io-mcp-server",
"--client",
"claude"
]
}
}
}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 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.
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