Remote Desktop Commander

app.desktopcommander由 desktopcommander.app 发布官方发布者v1.1.21更新于 Nov 5, 2026

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

已验证Streamable HTTP可网页运行云端与基础设施文件与存储开发者工具

概览

AI 生成的概览

托管型 MCP 服务器,通过安全中继连接到你自己的电脑,让 AI 助手远程读写文件、编辑文档并执行终端命令。

可以做什么
  • 读取与浏览文件:读取文件、批量读取、列出目录、获取文件信息
  • 搜索文件系统:启动、继续、停止搜索并列出进行中的搜索
  • 写入与编辑:写入文件、按块编辑、移动或重命名、创建目录、写入或修改 PDF
  • 终端与进程:启动进程、发送输入、读取输出、列出会话与系统进程、终止会话或结束进程
  • 设备与账户:列出已配对设备、当前用户信息、探测或关闭设备代理
  • 配置与帮助:读取或修改配置、提示词库、近期工具活动、使用统计、提交反馈
适用场景
适合在你不在电脑前时,让网页、手机或其他设备上的 AI 应用操作你的电脑:开发功能、浏览代码库、就地编辑 Word、Excel 或 PDF 文件,或在多台已配对机器上管理进程。
运行要求
通过 Streamable HTTP 访问的远程端点,需 OAuth 2.0 登录。每台受控电脑需安装 Node.js 18 或更高版本以使用 npx,并在终端运行设备代理,通过浏览器验证码完成配对。支持 macOS、Windows 和 Linux;代理必须保持运行才能访问。
安装前请注意
工具以你本机用户账户的权限执行,因此已连接的 AI 账户等同于凭据,应启用多因素认证。代理可写入、移动、删除文件,并可启动或结束进程。该托管服务为闭源,数据经第三方中继;可在控制台撤销设备,或停止代理以断开访问。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Remote Desktop Commander,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/app.desktopcommander%2Fremote-desktop-commander/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

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

README

Remote Desktop Commander

[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.

[Add to Cursor]

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:

bash
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:

bash
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:

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

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

bash
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):

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

Gemini CLI:

bash
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

mermaid
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

来源:README.md,提交 b480501

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

6
  1. v1.1.21最新Nov 5, 2026
  2. v1.1.16Oct 29, 2026
  3. v1.0.80Oct 22, 2026
  4. v1.0.79Oct 20, 2026
  5. v1.0.75Oct 13, 2026
  6. v1.0.3Sep 16, 2026

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