macOS Remote Control

- "Take a screenshot"
- "Open Safari"
- "Click on the Dock"
- "Type hello world"

mcp_macos/ ├── frontend/ # Next.js React frontend │ ├── src/ │ │ ├── components/ # Chat interface components │ │ ├── hooks/ # Socket.IO and state management │ │ ├── stores/ # Zustand state stores │ │ └── types/ # TypeScript definitions ├── backend/ # Node.js Express backend │ ├── src/ │ │ ├── services/ # MCP client, LLM service, chat service │ │ ├── config/ # Environment configuration │ │ └── utils/ # Logging and utilities └── src/ # Original Python MCP server ├── mcp_remote_macos_use/ ├── action_handlers.py └── vnc_client.py

# Development npm run dev # Start both frontend and backend npm run dev:frontend # Start only frontend npm run dev:backend # Start only backend # Building npm run build # Build both npm run build:frontend # Build frontend only npm run build:backend # Build backend only # Testing npm run test # Run all tests

Browser ←→ Frontend (Next.js) ←→ Backend (Node.js) ←→ MCP Server (Python) ←→ macOS WebSocket/HTTP Socket.IO/REST Docker/stdio VNC

- Frontend: Modern React app with real-time chat interface
- Backend: Express.js server with Socket.IO for real-time communication
- LLM Integration: OpenAI GPT-4 for natural language understanding
- MCP Client: Communicates with Python MCP server via Docker
- macOS Control: VNC-based control of local or remote Macs

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- 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

- 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

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.

- 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

- 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

- 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

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:

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.

Read-only MCP endpoint for a managed dedicated Mac mini AI operator setup service with public pricing and a 10-founder-install queue.

An open-source MCP server that allows AI to fully control a remote macOS system.

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Enables LLM clients to interact with macOS applications through AppleScript. Built using the @beyondbetter/bb-mcp-server library, this server provides safe, controlled execution of predefined scripts with optional support for arbitrary script execution.

MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients.

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