Remote Desktop Commander

MCP serverAI & models

Your AI assistant can work with your own computer instead of only chatting about it. Remote Desktop Commander links claude.ai, ChatGPT, and other AI apps to your machine. The connection is hosted, so it is set up and maintained for you.

Use Remote Desktop Commander in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Remote Desktop Commander and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use Remote Desktop Commander

Details

Available today. Use it from your connected AI after setup.

After adding it, connect your computer so your AI apps can reach it. Then open claude.ai, ChatGPT, or another supported app and ask your assistant to work with your machine.

Remote Desktop CommanderStart free

What your AI can do with it

  • Connect claude.ai or ChatGPT to your own computer
  • Work on your computer through your AI assistant
  • Reach your computer remotely from an AI chat
  • Use the same connection with claude.ai, ChatGPT, and other AI apps

Install Remote Desktop Commander

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

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

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.desktopcommander.app/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=remote-desktop-commander&config=eyJ1cmwiOiJodHRwczovL21jcC5kZXNrdG9wY29tbWFuZGVyLmFwcC9tY3AifQ==

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.desktopcommander.app/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add remote-desktop-commander --url 'https://mcp.desktopcommander.app/mcp'

    Run it once, then sign in with codex mcp login remote-desktop-commander if the server asks for an account.

From the project's README

As published by desktop-commander/remote-desktop-commander in README.md.

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

Signals

GitHub stars
119
Forks
16
Last commit
Aug 2026
Advanced
Delivery
remote-desktop-commander MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
app-desktopcommander-remote-desktop-commander
Source
github.com/desktop-commander/remote-desktop-commander
Hosted endpoint
https://mcp.desktopcommander.app/mcp