An MCP server that enables AI assistants like Claude Code to capture screenshots, view images, and manage screenshot files on Windows. It uses native Windows APIs for full-screen, region, or active-window captures, and supports image analysis and automated cleanup.
A Model Context Protocol server that provides screenshot capabilities for AI assistants, including window, region, and long screenshots across Windows, macOS, and Linux.
A small Model Context Protocol (MCP) server that gives an LLM eyes on your desktop without burning context. It can take one-off screenshots, crop a region around the mouse cursor, and run timed streaming sessions that save frames to disk and only return image bytes when explicitly asked.
Enables fast, high-quality screenshot capture of web pages with automatic tiling into 1072x1072 chunks optimized for AI vision workflows. It also supports capturing specific DOM elements and recording screencasts as animated WebP files.
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.
An MCP server that captures screenshots of URLs or local app windows and analyzes them with a local Ollama vision model, enabling Claude to visually inspect web pages and desktop applications without sending image data externally.
Enables AI tools to capture and process screenshots of a user's screen, allowing AI assistants to see and analyze what the user is looking at through a simple MCP interface.
Enables extracting screenshots from video files at specific timestamps or intervals. Supports multiple video formats and output customization including resolution, quality, and format options.
Enables generating beautiful syntax-highlighted code screenshots with professional themes directly from Claude. Supports file reading, line selection, git diff visualization, and batch processing across 20+ programming languages.
Enables capturing screenshots and annotating images with boxes, arrows, text, highlights, and other shapes, plus editing features like blur, crop, and resize with flexible export options.
Enables MCP clients to capture web page and DOM element images, tile full pages into AI-friendly chunks, and record animated screencasts with configurable waits and JavaScript injection.
Captures high-quality webpage screenshots optimized for AI vision workflows, automatically tiling full pages into 1072x1072 chunks, with support for element-specific captures, configurable waits, and screencasts.
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.
Enables AI coding and vision tools to capture fresh webpage screenshots, automatically tile full pages into 1072x1072 chunks, capture CSS-selected elements, and record screencasts as PNG or animated WebP files.
Enables AI assistants such as Claude, ChatGPT, Cursor, and Claude Code to capture full-page, viewport, mobile, and desktop images of web pages, returning signed public URLs. Supports JavaScript rendering, custom viewports, and device emulation for visual documentation, design comparison, and layout analysis.
Enables AI tools to turn web pages into optimized visual captures, including full-page tiles, specific DOM elements, and timed animated recordings for vision-model workflows.
A modern Model Context Protocol (MCP) Server for Windows Screenshots built with .NET 10. It simulates Print Screen functionality and enables AI assistants to capture screenshots.