remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

Enables remote control of macOS systems through screen sharing, allowing AI agents to capture screenshots, send keyboard inputs, control mouse movements, and interact with any macOS application without requiring additional software installation.
Provides a direct alternative to OpenAI Operator, allowing OpenAI models to interact with and control macOS systems through the MCP protocol.
Supports interaction with YouTube, as demonstrated in showcases where the system is used to create short highlight videos using applications like CapCut.

MCP Server - Remote MacOs Use

The first open-source MCP server that enables AI to fully control remote macOS systems.

A direct alternative to OpenAI Operator, optimized specifically for autonomous AI agents with complete desktop capabilities, requiring no additional software installation.

Showcases

Research Twitter and Post Twitter(https://www.youtube.com/watch?v=--QHz2jcvcs)

Use CapCut to create short highlight video(https://www.youtube.com/watch?v=RKAqiNoU8ec)

AI Recruiter: Automated candidate information collection, qualifying applications and sending screening sessions using Mail App
AI Marketing Intern: LinkedIn engagement - automated following, liking, and commenting with relevant users
AI Marketing Intern: Twitter engagement - automated following, liking, and commenting with relevant users

To-Do List (Prioritized)

Performance Optimization - Match speed of Ubuntu desktop alternatives
Apple Scripts Generation - Reduce execution time while maintaining flexibility
VNC Cursor Visibility - Improve debugging and demo experience

We welcome contributions!

Features

No Extra API Costs: Free screen processing with your existing Claude Pro plan
Minimal Setup: Just enable Screen Sharing on the target Mac – no additional software needed
Universal Compatibility: Works with all macOS versions, current and future

Why We Built This

Native macOS Experience Without Compromise

The macOS native ecosystem remains unmatched in user experience today and will continue to be the gold standard for years to come. This is where human capabilities truly thrive, and now your AI can operate in this environment with the same fluency.

Open Architecture By Design

Universal LLM Compatibility: Work with any MCP Client of your choice
Model Flexibility: Seamlessly integrate with OpenAI, Anthropic, or any other LLM provider
Future-Proof Integration: Designed to evolve with the MCP ecosystem

Effortless Deployment

Zero Setup on Target Machines: No background applications or agents needed on macOS
Screen Sharing is All You Need: Control any Mac with Screen Sharing enabled
Eliminate Backend Complexity: Unlike other solutions that require running Python applications or background services

Streamlined Bootstrap Process

Leverage Claude Desktop's Polished UI: No need for developer-style Python interfaces
Intuitive User Experience: Interact with your AI-controlled Mac through a familiar, user-friendly interface
Instant Productivity: Start working immediately without configuration hassles

Architecture

Installation

Enable Screen Sharing on MacOs If you rent a mac from macstadium.com, you can skip this step
Connect to your remote MacOs
Install Docker Desktop for local Mac
Add this MCP server to Claude Desktop You can configure Claude Desktop to use the Docker image by adding the following to your Claude configuration:

{
  "mcpServers": {
    "remote-macos-use": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "-e",
        "MACOS_USERNAME=your_macos_username",
        "-e",
        "MACOS_PASSWORD=your_macos_password",
        "-e",
        "MACOS_HOST=your_macos_hostname_or_ip",
        "-e",
        "LIVEKIT_API_KEY=your_livekit_api_key",
        "-e",
        "LIVEKIT_API_SECRET=your_livekit_api_secret",
        "-e",
        "LIVEKIT_HOST=your_livekit_host",
        "--rm",
        "buryhuang/mcp-remote-macos-use:latest"
      ]
    }
  }
}

WebRTC Support via LiveKit

This server now includes WebRTC support through LiveKit integration, enabling:

Low-latency real-time screen sharing
Improved performance and responsiveness
Better network efficiency compared to traditional VNC
Automatic quality adaptation based on network conditions

To use WebRTC features, you'll need to:

Set up a LiveKit server or use LiveKit Cloud
Configure the LiveKit environment variables as shown in the configuration example above

Developer Instruction

Clone the repo

# Clone the repository
git clone https://github.com/yourusername/mcp-remote-macos-use.git
cd mcp-remote-macos-use

Building the Docker Image

# Build the Docker image
docker build -t mcp-remote-macos-use .

Cross-Platform Publishing

To publish the Docker image for multiple platforms, you can use the docker buildx command. Follow these steps:

Create a new builder instance (if you haven't already):
docker buildx create --use
Build and push the image for multiple platforms:
docker buildx build --platform linux/amd64,linux/arm64 -t buryhuang/mcp-remote-macos-use:latest --push .
Verify the image is available for the specified platforms:
docker buildx imagetools inspect buryhuang/mcp-remote-macos-use:latest

Usage

The server provides Remote MacOs functionality through MCP tools.

Tools Specifications

The server provides the following tools for remote macOS control:

remote_macos_get_screen

Connect to a remote macOS machine and get a screenshot of the remote desktop.

remote_macos_send_keys

Send keyboard input to a remote macOS machine.

remote_macos_mouse_move

Move the mouse cursor to specified coordinates on a remote macOS machine, with automatic coordinate scaling.

remote_macos_mouse_click

Perform a mouse click at specified coordinates on a remote macOS machine, with automatic coordinate scaling.

remote_macos_mouse_double_click

Perform a mouse double-click at specified coordinates on a remote macOS machine, with automatic coordinate scaling.

remote_macos_mouse_scroll

Perform a mouse scroll at specified coordinates on a remote macOS machine, with automatic coordinate scaling.

remote_macos_open_application

Opens/activates an application and returns its PID for further interactions.

remote_macos_mouse_drag_n_drop

Perform a mouse drag operation from start point and drop to end point on a remote macOS machine, with automatic coordinate scaling.

All tools use the environment variables configured during setup instead of requiring connection parameters.

Limitations

Authentication Support:
- Only Apple Authentication (protocol 30) is supported

Security Note

https://support.apple.com/guide/remote-desktop/encrypt-network-data-apdfe8e386b/mac https://cafbit.com/post/apple_remote_desktop_quirks/

We only support protocol 30, which uses the Diffie-Hellman key agreement protocol with a 512-bit prime. This protocol is used by macOS 11 to macOS 12 when communicating with OS X 10.11 or earlier clients.

Here's the information converted to a markdown table:

macOS version running Remote Desktop	macOS client version	Authentication	Control and Observe	Copy items or install package	All other tasks	Protocol Version
macOS 13	macOS 13	2048-bit RSA host keys	2048-bit RSA host keys	2048-bit RSA host keys to authenticate, then 128-bit AES	2048-bit RSA host keys	36
macOS 13	macOS 10.12	Secure Remote Password (SRP) protocol for local only. Diffie-Hellman (DH) if bound to LDAP or macOS server is version 10.11 or earlier	SRP or DH,128-bit AES	SRP or DH to authenticate, then 128-bit AES	2048-bit RSA host keys	35
macOS 11 to macOS 12	macOS 10.12 to macOS 13	Secure Remote Password (SRP) protocol for local only, Diffie-Hellman if bound to LDAP	SRP or DH 1024-bit, 128-bit AES	2048-bit RSA host keys macOS 13 to macOS 10.13	2048-bit RSA host keys macOS 10.13 or later	33
macOS 11 to macOS 12	OS X 10.11 or earlier	DH 1024-bit	DH 1024-bit, 128-bit AES	Diffie-Hellman Key agreement protocol with a 512-bit prime	Diffie-Hellman Key agreement protocol with a 512-bit prime	30

Always use secure, authenticated connections when accessing remote remote MacOs machines. This tool should only be used with servers you trust and have permission to access.

MacOs Agent Client

A lightweight agent that connects to LiveKit rooms for remote macOS control. Features our proprietary "keep_eyes_open" system that significantly enhances responsiveness and performance by maintaining continuous environment awareness without polling overhead. This allows for near real-time command execution and feedback through efficient bi-directional data channels.

License

MIT

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security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

Tools

The first open-source MCP server that enables AI to fully control remote macOS systems.

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