原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Remote Desktop Commander

作者:desktop-commander版本 1.1.21i★ 211i在云端运行
注册名称app.desktopcommander/remote-desktop-commander

安装

概览

作者提供的说明(英文原文)

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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。

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.desktopcommander.app/mcp

在终端中运行这条命令

claude mcp add --transport http remote-desktop-commander https://mcp.desktopcommander.app/mcp

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": {
    "remote-desktop-commander": {
      "url": "https://mcp.desktopcommander.app/mcp"
    }
  }
}

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": {
    "remote-desktop-commander": {
      "type": "http",
      "url": "https://mcp.desktopcommander.app/mcp"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.desktopcommander.app/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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

服务器要求先登录,才会列出它的工具。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 desktopcommander.app 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于昨天

  • ! 注意

    有许可证

    GitHub 无法识别许可证类型;请打开文件自行查看

  • ✓ 通过

    端点有响应

    在 94 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32568 个服务器的 100%
  • 发布到注册中心的时间比此分类中其他 32568 个服务器的 95% 更新
  • 基础检查结果等于或优于此分类中其他 32568 个服务器的 37%

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

Remote Desktop Commander 安全吗?

它在 5 项适用的基础检查中通过了 4 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于昨天,最新版本(1.1.21)于昨天进入注册中心。

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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, FlyDocs, plagio

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

FlyDocs

作者:flydocs.ai

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

在你的电脑上运行今天更新
安装

plagio

作者:plagio.dev

Real HTML, styles, measurements and brand tokens from any live site, for coding agents.

在云端运行今天更新
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。

Remote Desktop Commander

Build, explore, automate on your computer — from anywhere.

Reach your computer's filesystem and terminal from any AI app that supports remote MCP connectors. Remote Desktop Commander is a hosted MCP server that relays a secure connection to your real machine, giving your AI assistant the same full file and shell access as the local server — without you needing to be at the keyboard.

This repository hosts the public manifests, documentation and issue tracker for the hosted service. The service implementation is not open source. For the open-source local (stdio) server, see DesktopCommanderMCP.

What you can do

  • Build from scratch — create features and applications with simple commands
  • Manage development environments — set up servers, configure systems, handle processes
  • Explore existing codebases — navigate and understand complex repositories
  • Edit documents in place — work on Word, Excel, and PDF files where they live on disk
  • Manage context and documentation — keep track of project details and technical specifications
  • Control multiple machines — pair several computers and address them by name in one conversation

Quick start

1. Start the device agent

On the computer you want to control:

npx @wonderwhy-er/desktop-commander@latest remote

Your browser opens to a verification page showing a pairing code (also printed in the terminal — a standard OAuth device-flow check). Sign in, confirm the codes match, and the terminal reports "Device ready". Keep the agent running: close the terminal, no access.

2. Connect your AI client

Each client walks you through OAuth sign-in on first connect.

claude.ai / Claude Desktop — Settings → Connectors → Add custom connector, then enter:

https://mcp.desktopcommander.app/mcp

Claude Code:

claude mcp add --transport http remote-desktop-commander https://mcp.desktopcommander.app/mcp

(If you work inside a checkout of this repo, Claude Code also picks up the included .mcp.json automatically.)

ChatGPT — Settings → Apps & Connectors → Advanced settings → enable Developer mode (requires a plan that includes it), then Create connector and enter:

https://mcp.desktopcommander.app/mcp

Cursor — one click: Add to Cursor. Or add to ~/.cursor/mcp.json manually:

{

"mcpServers": { "remote-desktop-commander": { "url": "https://mcp.desktopcommander.app/mcp" } } }

VS Code — install the agent plugin (bundles this server):

copilot plugin install desktop-commander/remote-desktop-commander

Or add the server directly to .vscode/mcp.json in your workspace (or your user-level mcp.json):

{

"servers": { "remote-desktop-commander": { "type": "http", "url": "https://mcp.desktopcommander.app/mcp" } } }

Gemini CLI:

gemini extensions install https://github.com/desktop-commander/remote-desktop-commander
3. Try it

These work against any machine running the agent, no setup needed:

"List the contents of my home directory and tell me what's there."

"Create a folder called ai-test in my Documents folder. Inside it, write a short Python script that prints the date, and run it."

"Start a Python REPL on my machine, import pandas, and tell me which version is installed. Keep the session alive."

"Search my home directory for files modified in the last 24 hours and group them by folder."

Full walkthrough with troubleshooting: docs/SETUP.md

Requirements

  • Node.js 18 or newer (for npx) on each computer you want to control
  • One terminal running the device agent per machine
  • Works on macOS, Windows, and Linux

Available tools

CategoryTools
Read & exploreRead File, Read Multiple Files, List Directory, Get File Info
SearchStart Search, Get More Search Results, Stop Search, List Active Searches
Write & editWrite File, Edit File Block, Move or Rename File, Create Directory, Write or Modify PDF
Terminal & processesStart Process, Send Input to Process, Read Process Output, List Active Sessions, List System Processes, Terminate Session, Kill System Process
Devices & accountList Paired Devices, Current User Info, Ping Device, Shutdown Device Agent
Configuration & helpGet Configuration, Set Configuration Value, Get Prompt Library, Get Recent Tool Activity, Get Usage Statistics, Submit Feedback

How it works

sequenceDiagram

participant AI as AI app (web, mobile, desktop) participant S as mcp.desktopcommander.app participant D as Your computer (device agent) AI->>S: MCP tool call (OAuth 2.0 bearer) S->>D: relayed to your paired device D->>D: executes locally D->>S: result S->>AI: MCP response

  • Authentication is standard OAuth 2.0 with PKCE; devices pair via the OAuth device authorization flow (the short-code approval you see at setup).
  • The server only accesses data explicitly requested through tool calls; transmission is encrypted in transit (HTTPS/TLS).
  • A machine is reachable only while its device agent is running — stop it with Ctrl+C and access ends. Devices can also be reviewed and revoked at any time from the dashboard.
  • Tools execute with your user account's permissions on the paired machine, so treat your connected AI accounts like credentials and protect them with MFA. Read the full trust model in SECURITY.md.

Support & legal

Related

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