MCP_iOS_Server

akaash-nigam/MCP_iOS_Server

3.1

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The iOS MCP Server is designed to facilitate real-time interaction between AI assistants and iOS devices, leveraging macOS-based tools for enhanced device management and debugging.

iOS MCP Server

Overview

A Model Context Protocol (MCP) server for iOS device interaction that provides AI assistants with real-time access to iOS device capabilities, debugging tools, and app monitoring through macOS-based tooling.

Project Status

🔵 Planning Phase - Documentation and Architecture Design

Architecture

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│   AI Assistant  │────▶│   macOS MCP     │────▶│   iOS Device    │
│    (Claude)     │◀────│    Server       │◀────│  (via Xcode)    │
└─────────────────┘     └─────────────────┘     └─────────────────┘
                               MCP Port            devicectl/xcrun

Key Features

  • 📱 iOS device management and control
  • 📸 Real-time screenshot capture with coordinates
  • 🎯 UI interaction automation (tap, swipe, input)
  • 📊 Performance and system monitoring
  • 📋 Console log streaming
  • 🔧 Accessibility tree analysis
  • 🤖 Native Xcode tool integration

Project Structure

ios-mcp-server/
├── docs/                    # Documentation
│   ├── IMPLEMENTATION_PLAN.md
│   ├── ARCHITECTURE.md
│   ├── API_SPECIFICATION.md
│   └── DEVELOPMENT_GUIDE.md
├── src/                     # Source code
├── tests/                   # Test files
├── examples/                # Usage examples
└── README.md

Documents

  • - Detailed technical implementation roadmap
  • - System architecture and design patterns
  • - MCP tools and API documentation
  • - Setup and development workflow

Quick Start (Future)

# Clone and setup
git clone <repo>
cd ios-mcp-server
npm install

# Connect iOS device and start server
npm run start

# Connect from AI Assistant
# Server will be available at: http://localhost:3000

Development Phases

  1. Phase 1: Core MCP server with device detection and screenshots
  2. Phase 2: UI interaction automation and accessibility tree parsing
  3. Phase 3: Performance monitoring and console log streaming
  4. Phase 4: Advanced debugging tools and testing integration

Next Steps

  • Create project structure
  • Complete implementation plan documentation
  • Design architecture and API specification
  • Implement core MCP server
  • Add iOS device communication tools
  • Test with AI assistants