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Screeny

Enables AI models to capture screenshots of specific application windows on macOS, providing visual context for development and debugging.

About

Screeny is a macOS-exclusive MCP server designed to empower large language models (LLMs) and other AI agents with the ability to visually interact with your desktop. It allows these agents to capture high-fidelity screenshots of specific application windows, providing crucial visual context for a range of tasks, particularly in development and debugging scenarios. The tool emphasizes privacy and security, ensuring only user-approved windows can be accessed and all image processing occurs locally on your machine, with screenshots being temporary and immediately deleted after use.

Key Features

  • Captures screenshots of specific macOS application windows by ID.
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  • Lists all user-approved application windows available for screenshot capture.
  • Supports background window capture without needing to bring the window to the foreground.
  • Provides actual pixel data for full-fidelity image captures.
  • Ensures privacy and security by only capturing user-approved windows with local processing.

Use Cases

  • Enabling automated visual information gathering from macOS applications for AI-driven workflows.
  • Providing visual context to LLMs for automated development and coding tasks.
  • Assisting AI agents in debugging software by capturing application states and UI elements.
Screeny: Capture macOS App Screenshots for AI & Dev