ScreenMonitorMCP - Revolutionary AI Vision Server

Give AI real-time sight and screen interaction capabilities

ScreenMonitorMCP is a revolutionary MCP (Model Context Protocol) server that provides Claude and other AI assistants with real-time screen monitoring, visual analysis, and intelligent interaction capabilities. This project enables AI to see, understand, and interact with your screen in ways never before possible.

Why ScreenMonitorMCP?

Transform your AI assistant from text-only to a visual powerhouse that can:

• Monitor your screen in real-time and detect important changes
• Click UI elements using natural language commands
• Extract text from any part of your screen
• Analyze screenshots and videos with AI
• Provide intelligent insights about screen activity

Core Features

Smart Monitoring System

• start_smart_monitoring() - Enable intelligent monitoring with configurable triggers
• get_monitoring_insights() - AI-powered analysis of screen activity
• get_recent_events() - History of detected screen changes
• stop_smart_monitoring() - Stop monitoring with preserved insights

Natural Language UI Interaction

• smart_click() - Click elements using descriptions like "Save button"
• extract_text_from_screen() - OCR text extraction from screen regions
• get_active_application() - Get current application context

Visual Analysis Tools

• capture_and_analyze() - Screenshot capture with AI analysis
• record_and_analyze() - Video recording with AI analysis
• query_vision_about_current_view() - Ask AI questions about current screen

System Performance

• get_system_metrics() - Comprehensive system health dashboard
• get_cache_stats() - Cache performance statistics
• optimize_image() - Advanced image optimization
• simulate_input() - Keyboard and mouse simulation

Quick Setup

1. Installation

git clone https://github.com/inkbytefo/ScreenMonitorMCP.git
cd ScreenMonitorMCP
pip install -r requirements.txt

2. Configuration

cp .env.example .env
# Edit .env file with your OpenAI API key

3. Run Server

python main.py

4. Claude Desktop Integration

Add to your Claude Desktop claude_desktop_config.json:

{
  "mcpServers": {
    "screenMonitorMCP": {
      "command": "python",
      "args": [
        "/path/to/ScreenMonitorMCP/main.py"
      ]
    }
  }
}

Usage Examples

# Start intelligent monitoring
await start_smart_monitoring(triggers=['significant_change', 'error_detected'])

# Natural language UI interaction
await smart_click('Save button')
await smart_click('Email input field')

# Ask AI about current screen
await query_vision_about_current_view('What errors are visible on this page?')

# Extract text from screen
await extract_text_from_screen()

Available Tools (21 Total)

Smart Monitoring (6 tools): Real-time screen monitoring with AI analysis UI Interaction (2 tools): Natural language screen control Visual Analysis (3 tools): AI-powered image and video analysis System Performance (7 tools): Performance monitoring and optimization Input Simulation (2 tools): Keyboard and mouse automation Utility (1 tool): Tool documentation and listing

Technical Features

• 21 Revolutionary Tools - Comprehensive AI vision capabilities
• Real-time Monitoring - Adaptive FPS with smart triggers
• Multi-AI Support - OpenAI, OpenRouter, and custom endpoints
• Advanced OCR - Tesseract and EasyOCR integration
• Cross-platform - Windows, macOS, Linux support
• Smart Caching - Performance optimization
• Security Focused - API key management

Vision & Mission

Vision: Enable AI assistants to see and interact with the visual world, breaking down the barrier between text-based AI and real-world interfaces.

Mission: Provide the foundational technology for AI-human visual interaction, making AI assistants truly helpful in visual tasks and screen-based workflows.

Contributing

We welcome contributions to this revolutionary project:

• Bug reports and feature requests
• Code contributions and improvements
• Documentation enhancements

See CONTRIBUTING.md for details.

License

This project is licensed under the MIT License. See LICENSE for details.

Ready to give your AI real sight?

ScreenMonitorMCP transforms AI assistants from text-only to visually intelligent companions.