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    MCP server that provides vision capabilities to coding agents, enabling them to analyze screenshots, UI mockups, terminal errors, documents, tables, and charts through OpenAI-compatible vision models. Supports local stdio and remote HTTP deployments with structured JSON output and binary upload side channels.
    8
    26 npm
    MIT
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    Enables Claude Code to display images inline within supported terminals like Ghostty and Kitty using the Kitty graphics protocol on macOS. It allows users to view various image formats including PNG, JPEG, GIF, and WebP directly in the terminal interface.
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    Drives Google Flow from an agent or the terminal: Veo text-to-video, image-to-video and clip extension, plus Imagen image generation. Runs locally against your own Google account with Flow access; video generation bills that account's credits.
    16
    1,499 PyPI
    222
    MIT
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    Enables AI to display its current mood as a locally generated ASCII face using Stable Diffusion, with a tool feel(emotion) that the AI can call to update the terminal display.
    MIT
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    Enables agents to render Carbon-style PNG or animated GIF cards of source code, terminal sessions, unified diffs, and Claude Code transcripts entirely on the local machine, with secret masking always applied. Returns the written file path plus the PNG image itself so the model can inspect its own output.
    MIT
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    Enables encoding 100+ barcode symbologies and decoding common 1D/2D formats, plus terminal QR codes.
    1
    MIT
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    Enables the generation of QR codes in PNG, SVG, Base64, and ASCII formats via Model Context Protocol clients. Users can save codes directly to local files or display them as terminal-friendly art through natural language commands.
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