# ScreenMonitorMCP v2
🚀 **A REVOLUTIONARY Model Context Protocol (MCP) server!** Gives AI real-time vision capabilities and enhanced UI intelligence power. This isn't just screen capture - it gives AI the power to truly "see" and understand your digital world!
## 🌟 Features
### Core Capabilities
- **Real-time Screen Capture**: High-performance screen monitoring with multi-monitor support
- **AI Vision Integration**: Advanced computer vision with OCR, object detection, and scene analysis
- **Streaming Support**: Live screen streaming with configurable quality and frame rates
- **Performance Monitoring**: Real-time system metrics and health monitoring
- **Multi-AI Provider Support**: Compatible with OpenAI, Anthropic, and other AI services
### Enhanced v2 Features
- **Improved Performance**: Optimized capture algorithms and reduced latency
- **Better AI Integration**: Enhanced vision capabilities with multiple AI models
- **Advanced Streaming**: Real-time screen streaming with WebSocket support
- **Comprehensive Monitoring**: Detailed performance metrics and system health
- **Modular Architecture**: Clean, maintainable codebase with proper separation of concerns
## 🚀 Quick Start
### Installation
```bash
pip install screenmonitormcp-v2
```
### Basic Usage
```python
from screenmonitormcp_v2 import ScreenMonitorMCP
# Initialize the MCP server
server = ScreenMonitorMCP()
# Start the server
server.run()
```
### MCP Client Configuration
Add to your MCP client configuration:
```json
{
"mcpServers": {
"screenmonitormcp-v2": {
"command": "screenmonitormcp-v2-mcp",
"args": [],
"env": {
"OPENAI_API_KEY": "your-api-key"
}
}
}
}
```
## 📖 Documentation
For detailed setup instructions, see [MCP_SETUP_GUIDE.md](MCP_SETUP_GUIDE.md)
## 🛠️ Development
### Requirements
- Python 3.8+
- Windows/macOS/Linux
- OpenAI API key (optional, for AI features)
### Installation from Source
```bash
git clone https://github.com/inkbytefo/screenmonitormcp-v2.git
cd screenmonitormcp-v2
pip install -e .
```
## 📝 License
MIT License - see [LICENSE](LICENSE) for details.
## 👨💻 Author
Developed by **inkbytefo**
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 📊 Version History
### v2.0.0
- Complete rewrite with improved architecture
- Enhanced AI vision capabilities
- Real-time streaming support
- Better performance monitoring
- Modular design
### v1.x
- Initial release (see [v1 branch](https://github.com/inkbytefo/ScreenMonitorMCP/tree/v1))
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"description": "# ScreenMonitorMCP v2\r\n\r\n\ud83d\ude80 **A REVOLUTIONARY Model Context Protocol (MCP) server!** Gives AI real-time vision capabilities and enhanced UI intelligence power. This isn't just screen capture - it gives AI the power to truly \"see\" and understand your digital world!\r\n\r\n## \ud83c\udf1f Features\r\n\r\n### Core Capabilities\r\n- **Real-time Screen Capture**: High-performance screen monitoring with multi-monitor support\r\n- **AI Vision Integration**: Advanced computer vision with OCR, object detection, and scene analysis\r\n- **Streaming Support**: Live screen streaming with configurable quality and frame rates\r\n- **Performance Monitoring**: Real-time system metrics and health monitoring\r\n- **Multi-AI Provider Support**: Compatible with OpenAI, Anthropic, and other AI services\r\n\r\n### Enhanced v2 Features\r\n- **Improved Performance**: Optimized capture algorithms and reduced latency\r\n- **Better AI Integration**: Enhanced vision capabilities with multiple AI models\r\n- **Advanced Streaming**: Real-time screen streaming with WebSocket support\r\n- **Comprehensive Monitoring**: Detailed performance metrics and system health\r\n- **Modular Architecture**: Clean, maintainable codebase with proper separation of concerns\r\n\r\n## \ud83d\ude80 Quick Start\r\n\r\n### Installation\r\n\r\n```bash\r\npip install screenmonitormcp-v2\r\n```\r\n\r\n### Basic Usage\r\n\r\n```python\r\nfrom screenmonitormcp_v2 import ScreenMonitorMCP\r\n\r\n# Initialize the MCP server\r\nserver = ScreenMonitorMCP()\r\n\r\n# Start the server\r\nserver.run()\r\n```\r\n\r\n### MCP Client Configuration\r\n\r\nAdd to your MCP client configuration:\r\n\r\n```json\r\n{\r\n \"mcpServers\": {\r\n \"screenmonitormcp-v2\": {\r\n \"command\": \"screenmonitormcp-v2-mcp\",\r\n \"args\": [],\r\n \"env\": {\r\n \"OPENAI_API_KEY\": \"your-api-key\"\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n## \ud83d\udcd6 Documentation\r\n\r\nFor detailed setup instructions, see [MCP_SETUP_GUIDE.md](MCP_SETUP_GUIDE.md)\r\n\r\n## \ud83d\udee0\ufe0f Development\r\n\r\n### Requirements\r\n- Python 3.8+\r\n- Windows/macOS/Linux\r\n- OpenAI API key (optional, for AI features)\r\n\r\n### Installation from Source\r\n\r\n```bash\r\ngit clone https://github.com/inkbytefo/screenmonitormcp-v2.git\r\ncd screenmonitormcp-v2\r\npip install -e .\r\n```\r\n\r\n## \ud83d\udcdd License\r\n\r\nMIT License - see [LICENSE](LICENSE) for details.\r\n\r\n## \ud83d\udc68\u200d\ud83d\udcbb Author\r\n\r\nDeveloped by **inkbytefo**\r\n\r\n## \ud83e\udd1d Contributing\r\n\r\nContributions are welcome! Please feel free to submit a Pull Request.\r\n\r\n## \ud83d\udcca Version History\r\n\r\n### v2.0.0\r\n- Complete rewrite with improved architecture\r\n- Enhanced AI vision capabilities\r\n- Real-time streaming support\r\n- Better performance monitoring\r\n- Modular design\r\n\r\n### v1.x\r\n- Initial release (see [v1 branch](https://github.com/inkbytefo/ScreenMonitorMCP/tree/v1))\r\n",
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