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    • A
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      Enables running open-weight image upscaling and restoration models locally on a Mac's GPU, driven by an MCP client that lists installed models, upscales images, and writes results to a folder as background jobs. Supports tiling for large images, 16-bit input/output, and configurable output scaling so results can be composited pixel-for-pixel over the original.
      6
      Apache 2.0
    • A
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      Enables AI agents to generate and manage bulk AI images locally through the app's engine, including batches, reference images, LoRAs, upscaling, and OpenAI-compatible API operations. It connects MCP clients such as Claude Code, Codex, Antigravity, and Hermes to a self-hosted Windows image-generation workflow without cloud accounts.
      MIT
    • F
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      maintenance
      Enables local programs to push text and images to AI assistants via HTTP and retrieve AI-generated responses, acting as a local data bridge between your code and MCP-capable AI tools.
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    • A
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      Snipaya MCP: lets AI assistants annotate screenshots in Snipaya, a local macOS image annotator. Add arrows, numbered steps, callouts and text, blur secrets in one click, lay out several screenshots on one canvas, and export, while you watch in the app. Runs on your Mac only.
      2
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      789 npm
      MIT