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AI Tool for Screen Grabbing and Graphic Design Analysis

  • Why this server?

    This server provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to capture screenshots of the desktop environment and control mouse movements/keyboard inputs, which is crucial for screen grabbing and analysis.

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    A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.
    232
    JavaScript
  • Why this server?

    While not directly screen grabbing, this server allows for image generation and manipulation using text prompts and color palettes, which could be used in conjunction with screen grabs for enhanced visual design.

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    Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.
    2,375
    Python
    Apache 2.0
  • Why this server?

    This server offers UI screenshot analysis, a key feature for analyzing screen grabs from a graphic designer's perspective, providing intelligent coding assistance based on the visual layout.

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    An AI-powered development toolkit for Cursor providing intelligent coding assistance through advanced reasoning, UI screenshot analysis, and code review tools.
    1,519
    240
    TypeScript
    MIT License
  • Why this server?

    This server enables OCR capabilities to recognize text from images, PDFs, and Word documents, convert them to Markdown, and extract key information, which is useful for analyzing screen grabs that contain text.

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    A server that enables OCR capabilities to recognize text from images, PDFs, and Word documents, convert them to Markdown, and extract key information.
    3
    83
    2
    JavaScript
    MIT License
  • Why this server?

    This server can enable automated browsing and vision-based element detection. Can be used in tandem with screen grabs.

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    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
    1
    34
    Python
    • Linux
    • Apple
  • Why this server?

    A CLIP-Based Fashion Recommender system with MCP that provides fashion recommendations based on uploaded images, allowing Claude to make suggestions based on the visual elements in the screen grab.

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    A CLIP-Based Fashion Recommender system with MCP that provides fashion recommendations based on uploaded images.
    1
    Python
    Apache 2.0
  • Why this server?

    Provides HTML file preview and analysis capabilities including capturing full-page screenshots of local HTML files, which supports analyzing screen grabs of web pages.

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    quality
    Provides HTML file preview and analysis capabilities. This server enables capturing full-page screenshots of local HTML files and analyzing their structure.
    2
    8
    JavaScript
    MIT License
  • Why this server?

    This server converts SVG to PNG images, useful if a graphic design involves SVGs captured from a screen.

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    A Model Context Protocol server that converts SVG code to PNG images, offering two conversion methods (CairoSVG and Inkscape) with support for custom working directories.
    Python
    • Linux
    • Apple
  • Why this server?

    Enables parallel Google searching with multiple keywords, providing structured results that can be analyzed for graphic design insights.

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    A powerful MCP server that enables parallel Google searching with multiple keywords simultaneously, providing structured results while handling CAPTCHAs and simulating user browsing patterns.
    1
    569
    40
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Enables browser automation and real-time computer vision tasks, relevant for interacting with design tools and analyzing web-based designs.

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    Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.
    0
    1
    JavaScript
    MIT License