Captures screenshots and saves them to file paths specified by client applications, primarily designed to facilitate screenshot analysis by AI assistants running in WSL environments.
Enterprise-grade screenshot capture server for AI agents with multi-format support, PII masking, multi-monitor support, and security controls for capturing full screens, specific windows, or custom regions across Linux, macOS, and Windows.
A Model Context Protocol server that enables natural language-driven screenshot capture on macOS, allowing users to take full desktop screenshots, capture specific windows, or select custom screen areas through Claude Desktop.
Enables capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths.
Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.