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Captures intelligent, context-aware screenshots with natural language understanding to provide visual information for Large Language Models.
About
A FastMCP server designed to provide Large Language Models (LLMs) with visual context by intelligently capturing screenshots. It leverages natural language queries to identify and focus on relevant screen content, offering features like auto-zoom, context-aware capture, and targeted window management. This tool is ideal for enhancing LLMs' capabilities in tasks requiring visual analysis, UI debugging, or general application inspection, ensuring high-quality, readable images are delivered efficiently across macOS, Windows, and Linux.
Key Features
- Enhanced smart capture with natural language understanding and auto-zoom
- Intelligently finds and captures the most relevant window based on context
- OpenCV-powered text enhancement for improved readability in captured images
- Comprehensive window management for listing, activating, and capturing specific windows by ID
- Cross-platform support for macOS (native) and Windows/Linux (fallback)
- 0 GitHub stars
Use Cases
- Providing contextual visual information to LLMs for analysis and task execution
- Enabling LLMs to perform visual inspection and analysis of running applications
- Debugging user interfaces (UI) and troubleshooting application issues with visual data
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