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Screenmonitormcp MCP Server

@inkbytefo

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inkbytefo

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inkbytefo

Screenmonitormcp MCP Server について

ScreenMonitorMCP - Revolutionary AI Vision Server

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

Screenmonitormcp MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Screenmonitormcp MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

What AI models does ScreenMonitorMCP support?

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

2

What are the system requirements?

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

3

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.

4

Does ScreenMonitorMCP support real-time monitoring?

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

5

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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