rdrop for Raindrop.io

Name: rdrop for Raindrop.io
Author: KingPsychopath

作者：KingPsychopath版本 0.2.1i★ –i在你的电脑上运行

注册名称io.github.KingPsychopath/raindrop-cli

安装

概览

作者提供的说明（英文原文）

Search Raindrop.io bookmarks and review tag and collection plans. Read-only MCP by default.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆
你需要填写：RAINDROP_TOKEN

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： RAINDROP_TOKEN

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "raindrop-cli": {
      "command": "npx",
      "args": [
        "-y",
        "@machineyearn/raindrop-cli",
        "mcp",
        "serve"
      ],
      "env": {
        "RAINDROP_TOKEN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add raindrop-cli --env RAINDROP_TOKEN=your-value -- npx -y @machineyearn/raindrop-cli mcp serve

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "raindrop-cli": {
      "command": "npx",
      "args": [
        "-y",
        "@machineyearn/raindrop-cli",
        "mcp",
        "serve"
      ],
      "env": {
        "RAINDROP_TOKEN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "raindrop-cli": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@machineyearn/raindrop-cli",
        "mcp",
        "serve"
      ],
      "env": {
        "RAINDROP_TOKEN": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

RAINDROP_TOKEN 机密 env
Raindrop.io API token. Alternatively configure the private rdrop env/token file; see setup.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 KingPsychopath 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 7234 个服务器的 0%
发布到注册中心的时间比此分类中其他 7234 个服务器的 58% 更新
基础检查结果等于或优于此分类中其他 7234 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

rdrop for Raindrop.io 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：RAINDROP_TOKEN

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.2.1）于27天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

rdrop for Raindrop.io

Find, review and organize your saved links. Keep your tags. Bring your own AI.

Turn a growing Raindrop.io library into something easier to use. Search saved links, inspect collections, find cleanup opportunities and review suggestions before making changes. Use it from your terminal or let your favorite agent do the reading and planning.

A Raindrop.io CLI, MCP server and reviewed bookmark organizer from Machineyearn, built as an independent integration.

Your organization stays yours. Start with the tags and collections you already created; preserve existing tags when applying a plan.
Changes you can inspect. See exact bookmarks, proposed tags and destinations, then dry-run the plan before applying it.
AI that fits your workflow. Connect Codex or Claude, use a hosted tool-capable model, or run local Qwen and Laya.
A useful CLI without AI. Search, edit, export, manage highlights and collections, and build shell pipelines.

Get started

1. Install

brew install machineyearningengineer/tap/rdrop

Or Node 22+, with optional dependencies enabled:

npm install --global @machineyearn/raindrop-cli@0.2.1 rdrop version

Prefer no global install? Use npx --yes @machineyearn/raindrop-cli@0.2.1 COMMAND. Native downloads cover macOS, Linux and Windows on Intel/AMD and ARM. Builds and checksums.

2. Connect Raindrop

Create a token in your Raindrop integration settings. Add it to the private file ~/.config/rdrop/env:

RAINDROP_TOKEN=your_token_here

Give the directory permissions 700 and the file 600, then run rdrop doctor. Keep the token out of chat and Git. Setup and troubleshooting.

3. Ask your agent

Copy this into Codex, Claude or your preferred coding agent. It can help with setup too:

Set up https://github.com/machineyearningengineer/raindrop-cli so you can help

manage my Raindrop library. Use its plugin/MCP when available, otherwise use the CLI. Check installation and authentication; have me add the token privately. Use the existing model and configured services first.

Start with a cleanup report and a small sample. Use my existing tags and collections. Choose useful tools for search, content, classification and planning; connect extra model providers, Executor or ACP only if needed. Show the exact proposed changes and a dry-run. Preserve my tags and notes, flag uncertain suggestions, and apply only the exact plan I approve.

Connect an agent, or start in your shell with rdrop collections --tree, rdrop search 'type:article #go' --json and rdrop cleanup report --json.

Choose your workflow

You want to…	Start here
Find links, manage collections or export your library	Shell commands
Use Codex, Claude or another MCP client	Client setup and plugins
Ask a model to inspect your library and propose changes	Run a model directly
Use Raindrop's semantic search and AI-assisted reads	Official MCP tools
Classify selected bookmarks with Jev, Laya or Clef	Decision providers
Run portable Raindrop tools in Executor	Executor setup

Organize with a plan

Begin with a report and select the exact bookmarks you want to review:

rdrop cleanup report --json > cleanup-report.json

rdrop context --ids 101,102 > library-context.json jq 'del(.snapshots)' library-context.json > model-context.json

The model view contains your existing tag names, collection paths and bookmark metadata. Keep the original context private: its snapshots are used to detect edits before applying. Ask any model or rule engine for the proposal format, then validate it:

rdrop organize plan --context library-context.json --proposal proposal.json > organization.json

jq '.plan // error("No accepted changes")' organization.json > reviewed-plan.json

Review accepted changes, needsReview and unmentioned items.

rdrop cleanup apply reviewed-plan.json --dry-run rdrop cleanup apply reviewed-plan.json --yes

Plans keep existing tags and can combine new tags with a collection move. Unknown names and destinations fail validation; new tags need explicit naming rules. Account, digest and snapshots are checked before writing. Concurrent edits or partial failures need inspection and a fresh plan. Organizing and recovery.

Use your agent

The Codex and Claude plugin bundles a shared organizing skill and a read-only MCP connection. Install instructions also cover direct setup for other local clients.

rdrop connect mcp                         # client configuration, without tokens

rdrop mcp serve # read-only tools over stdio rdrop mcp tools --search 'organize tags' # discover relevant schemas offline rdrop mcp tools --name raindrop_context # inspect one exact schema rdrop mcp serve --official # also include Raindrop's hosted AI reads

Default tools read and plan. Enable writes only for an authorized host that enforces review. The official extension imports documented read tools; its plan limits and service availability still apply. Coverage and comparison with the official server.

You can also run a model directly:

# With your model API key in a private environment:

rdrop agent --model your-tool-capable-model --json \ 'Review the first page of untagged bookmarks. Use existing tags and propose a plan.' > agent-result.json

The model receives actual tool results and returns a response plus exact generated plans. Step, call and time limits bound the run. Local Chat Completions servers and hosted Responses APIs are supported. Jev, Laya and Cloudflare Clef provide typed category decisions; uncertainty stays visible. Model setup and exact commands.

Verified and maintained

A real Qwen/Laya loop classified bookmarks, generated a plan and applied it to a disposable test library while preserving existing tags and notes. The local Executor deployment passed connected-account health and live read checks. Repeat the verification, including its limits: this smoke check is not an accuracy benchmark, and Jev/Clef live inference requires provider credentials.

The product focuses on Raindrop. Model providers and proposal formats are agnostic; Obsidian and other note sources remain future options.

For developers

The public name is rdrop for Raindrop.io. Stable technical identifiers are the raindrop-cli repository, @machineyearn/raindrop-cli npm package, rdrop command and raindrop@machineyearn plugin. Storage support currently focuses on Raindrop.io; model and agent connections are provider-neutral.

A native Go CLI, local MCP server and direct model loop share the command implementation. The REST client, model clients and planning code use the standard library; MCP uses the official Go SDK. ACP configuration supplies this server to an existing ACP agent. Executor offers a smaller portable REST adapter. Docker is available as a packaging option.

Command reference · API coverage · Integrations
Contributing · Security · Changelog

make check               # Go checks, build and generated-doc parity

make check-integrations # npm, Executor and Laya contracts make assets # regenerate the terminal graphic

rdrop for Raindrop.io

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

rdrop for Raindrop.io

Get started

1. Install

Or Node 22+, with optional dependencies enabled:

2. Connect Raindrop

3. Ask your agent

Choose your workflow

Organize with a plan

Review accepted changes, needsReview and unmentioned items.

Use your agent

Verified and maintained

For developers