Screenmonitormcp MCP Server

@inkbytefo

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其他

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stdio

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inkbytefo

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inkbytefo

关于 Screenmonitormcp MCP Server

ScreenMonitorMCP - Revolutionary AI Vision Server

#screenshot #ai-analysis#video-record#context#screenmonitormcp

Screenmonitormcp MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Screenmonitormcp MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is ScreenMonitorMCP?

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.

How to use ScreenMonitorMCP?

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.

Key features of ScreenMonitorMCP

Real-time screen monitoring with AI-powered analysis
Natural language UI element clicking
OCR text extraction from any screen region
Screenshot and video capture with AI analysis
System performance metrics and caching
Multi-AI support (OpenAI, OpenRouter, custom endpoints)

Use cases of ScreenMonitorMCP

Monitor 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

常见问题

What AI models does ScreenMonitorMCP support?

It supports OpenAI, OpenRouter, and custom API endpoints for vision analysis.

What are the system requirements?

Cross-platform (Windows, macOS, Linux), requires Python, Tesseract and EasyOCR for OCR, and an OpenAI API key.

How do I integrate ScreenMonitorMCP with Claude Desktop?

Add a JSON entry to `claude_desktop_config.json` with command `python` and arguments pointing to the `main.py` file.

Does ScreenMonitorMCP support real-time monitoring?

Yes, it offers adaptive FPS monitoring with smart triggers for events like significant changes or error detection.

How many tools does ScreenMonitorMCP provide?

It includes 21 tools across six categories: smart monitoring, UI interaction, visual analysis, system performance, input simulation, and utility.

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