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A tool or service for identifying image content

  • Why this server?

    This server provides tools for image, audio, and video recognition using Google's Gemini AI, which can be used to identify image content.

  • Why this server?

    This server provides desktop automation and screenshot capabilities, enabling LLMs to capture screenshots and thus 'see' the content of an image.

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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?

    Enables AI agents to interact with web browsers using natural language, featuring vision-based element detection, helpful for identifying images on webpages.

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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?

    Extracts audio content from videos across 1000+ streaming websites, useful for understanding the content surrounding a video, even if the video itself can't be directly 'seen'.

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    A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.
    5
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables Claude to generate and upscale images through the Letz AI API, allowing users to create images that can then be analyzed by other vision tools.

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    A Model Context Protocol server that enables Claude to generate and upscale images through the Letz AI API, allowing users to create images directly within Claude conversations.
    2
    1
    JavaScript
    • Linux
    • Apple
  • Why this server?

    Maps JavaScript error stack traces back to original source code, extracting context information, which, while not directly image-related, could indirectly aid in understanding the context of images within a web application.

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    Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.
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    150
    2
    TypeScript
    MIT License
  • Why this server?

    Extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content from online sources.

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    A Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.
    3
    MIT License
  • Why this server?

    A powerful image generation system that allows creation of high-quality AI-generated images, which are then indirectly 'identified' as content.

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    Powerful image generation system leveraging multiple Stable Diffusion models (flux-schnell, flux-dev, sdxl, sd3, sd15) for creating high-quality AI-generated images with precise customization.
    8
    MIT License
    • Linux
    • Apple
  • Why this server?

    Offers HTML file preview and analysis capabilities, enabling capturing full-page screenshots of local HTML files, which can then be processed as images.

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    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?

    Provides live reverse engineering support for Android applications, potentially enabling image resource extraction from APKs.

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    An MCP server that integrates with Apktool to provide live reverse engineering support for Android applications using Claude and other LLMs through the Model Context Protocol.
    16
    Python
    Apache 2.0
    • Linux