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Screenmonitormcp MCP Server

@inkbytefo

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inkbytefo

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inkbytefo

About Screenmonitormcp MCP Server

ScreenMonitorMCP - Revolutionary AI Vision Server

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

Screenmonitormcp MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Screenmonitormcp MCP Server tools

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.

Overview

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

Frequently asked questions

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.

Comments

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