ScreenMonitorMCP v2

A powerful Model Context Protocol (MCP) server that gives AI real-time vision capabilities and enhanced UI intelligence. Transform your AI assistant into a visual powerhouse that can see, analyze, and interact with your screen content.

What is ScreenMonitorMCP?

ScreenMonitorMCP v2 is a revolutionary MCP server that bridges the gap between AI and visual computing. It enables AI assistants to capture screenshots, analyze screen content, and provide intelligent insights about what's happening on your display.

Key Features

Real-time Screen Capture: Instant screenshot capabilities across multiple monitors
AI-Powered Analysis: Advanced screen content analysis using state-of-the-art vision models
Streaming Support: Live screen streaming for continuous monitoring
Performance Monitoring: Built-in system health and performance metrics
Multi-Platform: Works seamlessly on Windows, macOS, and Linux
Easy Integration: Simple setup with Claude Desktop and other MCP clients

Quick Start

Installation

# Install from PyPI
pip install screenmonitormcp

# Or install from source
git clone https://github.com/inkbytefo/screenmonitormcp.git
cd screenmonitormcp
pip install -e .

Configuration

Create a .env file with your AI service credentials:

OPENAI_API_KEY=your-api-key-here
OPENAI_MODEL=gpt-4o

Add to your Claude Desktop config:

{
  "mcpServers": {
    "screenmonitormcp-v2": {
      "command": "python",
      "args": ["-m", "screenmonitormcp_v2.mcp_main"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key-here",
        "OPENAI_BASE_URL": "https://openrouter.ai/api/v1",
        "OPENAI_MODEL": "qwen/qwen2.5-vl-32b-instruct:free"
      }
    }
  }
}

Restart Claude Desktop and start capturing!

Available Tools

capture_screen - Take screenshots of any monitor
analyze_screen - AI-powered screen content analysis
analyze_image - Analyze any image with AI vision
create_stream - Start live screen streaming
get_performance_metrics - System health monitoring

Use Cases

UI/UX Analysis: Get AI insights on interface design and usability
Debugging Assistance: Visual debugging with AI-powered error detection
Content Creation: Automated screenshot documentation and analysis
Accessibility Testing: Screen reader and accessibility compliance checking
System Monitoring: Visual system health and performance tracking

Documentation

For detailed setup instructions and advanced configuration, see our MCP Setup Guide.

Requirements

Python 3.8+
OpenAI API key (or compatible service)
MCP-compatible client (Claude Desktop, etc.)

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE for details.

Previous Version

Looking for v1? Check the v1 branch for the previous version.

Built with ❤️ by inkbytefo

Screen Monitor