What AI models does ScreenMonitorMCP support?
It supports OpenAI, OpenRouter, and custom API endpoints for vision analysis.
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Basic information
ScreenMonitorMCP - Revolutionary AI Vision Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"screenMonitorMCP": {
"command": "python",
"args": [
"/path/to/ScreenMonitorMCP/main.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
ScreenMonitorMCP is an MCP server that provides Claude and other AI assistants with real-time screen monitoring, visual analysis, and intelligent interaction capabilities. It enables AI to see, understand, and interact with your screen.
Clone the repository, install dependencies via pip, copy .env.example to .env, add your OpenAI API key, and run python main.py. For Claude Desktop integration, add the server configuration to claude_desktop_config.json. Then use tools like start_smart_monitoring(), smart_click(), or query_vision_about_current_view() in your Python code.
It supports OpenAI, OpenRouter, and custom API endpoints for vision analysis.
Cross-platform (Windows, macOS, Linux), requires Python, Tesseract and EasyOCR for OCR, and an OpenAI API key.
Add a JSON entry to `claude_desktop_config.json` with command `python` and arguments pointing to the `main.py` file.
Yes, it offers adaptive FPS monitoring with smart triggers for events like significant changes or error detection.
It includes 21 tools across six categories: smart monitoring, UI interaction, visual analysis, system performance, input simulation, and utility.

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Model Context Protocol Servers
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