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    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.
    6
    22 npm
    MIT
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    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.
    8
    MIT
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    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.
    3
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    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.
    2
    63 npm
    35
    Apache 2.0
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    A macOS-based MCP server that allows for capturing screenshots of displays and windows, as well as recording window activity to MP4 files. It leverages a Swift CLI backend to interact with macOS CoreGraphics and AVFoundation APIs for seamless screen capture management.
    7
    22 npm
    1
    MIT
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    Enables searching public UI design libraries (Refero, Mobbin, ScreensDesign, Dribbble) for real app and website screens, downloading them into a category-organized local library that can be searched offline, and capturing screenshots of any web page with a real browser. Works from any MCP client or as a standalone CLI.
    10
    MIT
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    Enables AI assistants running in WSL to capture Windows screenshots of full desktops, specific monitors, or individual windows by title or process name. It features DPI awareness, automatic path conversion between WSL and Windows, and customizable storage options.
    1
    3
    MIT
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    Screenshot, visual-diff, and AI page-analysis API for AI agents. Capture any URL as PNG, JPEG, WebP, PDF, or HTML, diff two versions of a page to catch visual regressions, and get an AI summary of what a page contains.
    3
    37 npm
    1
    MIT
  • A
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    Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.
    3
    293 npm
    MIT