mcp-remote-macos-use

by baryhuangVerified

The only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App

487
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56
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Python
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8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/baryhuang/mcp-remote-macos-use

Getting Started

Guides for using skills like mcp-remote-macos-use.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

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.

Docker Pulls License: MIT

Showcases

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

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

    image
  • 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)

  1. Performance Optimization - Match speed of Ubuntu desktop alternatives
  2. Apple Scripts Generation - Reduce execution time while maintaining flexibility
  3. 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

remote_macos_use_system_architecture

Installation

{
  "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",
        "--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:

  1. Set up a LiveKit server or use LiveKit Cloud
  2. 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:

  1. Create a new builder instance (if you haven't already):

    docker buildx create --use
    
  2. Build and push the image for multiple platforms:

    docker buildx build --platform linux/amd64,linux/arm64 -t buryhuang/mcp-remote-macos-use:latest --push .
    
  3. 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. Uses environment variables for connection details.

remote_macos_send_keys

Send keyboard input to a remote macOS machine. Uses environment variables for connection details.

remote_macos_mouse_move

Move the mouse cursor to specified coordinates on a remote macOS machine, with automatic coordinate scaling. Uses environment variables for connection details.

remote_macos_mouse_click

Perform a mouse click at specified coordinates on a remote macOS machine, with automatic coordinate scaling. Uses environment variables for connection details.

remote_macos_mouse_double_click

Perform a mouse double-click at specified coordinates on a remote macOS machine, with automatic coordinate scaling. Uses environment variables for connection details.

remote_macos_mouse_scroll

Perform a mouse scroll at specified coordinates on a remote macOS machine, with automatic coordinate scaling. Uses environment variables for connection details.

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 DesktopmacOS client versionAuthenticationControl and ObserveCopy items or install packageAll other tasksProtocol Version
macOS 13macOS 132048-bit RSA host keys2048-bit RSA host keys2048-bit RSA host keys to authenticate, then 128-bit AES2048-bit RSA host keys36
macOS 13macOS 10.12Secure Remote Password (SRP) protocol for local only. Diffie-Hellman (DH) if bound to LDAP or macOS server is version 10.11 or earlierSRP or DH,128-bit AESSRP or DH to authenticate, then 128-bit AES2048-bit RSA host keys35
macOS 11 to macOS 12macOS 10.12 to macOS 13Secure Remote Password (SRP) protocol for local only, Diffie-Hellman if bound to LDAPSRP or DH 1024-bit, 128-bit AES2048-bit RSA host keys macOS 13 to macOS 10.132048-bit RSA host keys macOS 10.13 or later33
macOS 11 to macOS 12OS X 10.11 or earlierDH 1024-bitDH 1024-bit, 128-bit AESDiffie-Hellman Key agreement protocol with a 512-bit primeDiffie-Hellman Key agreement protocol with a 512-bit prime30

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.

License

See the LICENSE file for details.

Frequently Asked Questions

What is mcp-remote-macos-use?

mcp-remote-macos-use is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by baryhuang. The only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App. It has 487 GitHub stars.

Is mcp-remote-macos-use safe to use?

Yes. mcp-remote-macos-use passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install mcp-remote-macos-use?

Clone the repository with "git clone https://github.com/baryhuang/mcp-remote-macos-use" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is mcp-remote-macos-use written in?

mcp-remote-macos-use is primarily written in Python. It is open-source under baryhuang on GitHub, so you can review or fork the full source.

Are there alternatives to mcp-remote-macos-use?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcp-remote-macos-use against similar tools.

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