How is fidelity measured?
Reprise returns a fidelity score with Mean Absolute Error (MAE) and stray pixel count (e.g., MAE 0.00 / 0 stray px) so you can quantitatively verify the reproduction.
@tepesama
基本信息
Reprise un-flattens a finished, flat AI design (ChatGPT/Midjourney/Claude) back into editable layers and rebuilds it bit-perfect — it returns a fidelity score (MAE 0.00 / 0 stray px) so you can verify, not just trust. Reproducing runs locally and free; remix one design into N on-
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"reprise": {
"type": "http",
"url": "https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Reprise converts a finished, flat AI design (from ChatGPT, Midjourney, Claude) back into editable layers and rebuilds it bit‑perfect, returning a fidelity score (MAE 0.00 / 0 stray px) so you can verify the result. It runs locally and free, and can remix a single design into multiple on‑brand variants.
Open the web UI (https://tepesama-reprise-mcp.hf.space → “Try it” tab) and drop an image – no signup required. To add it as an MCP server, run:
claude mcp add --transport http reprise https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http
The available tools are: reproduce(image) → editable layers + fidelity score, autodetect(image) → detected elements, diagnose(original, reproduction) → fidelity metrics.
Reprise returns a fidelity score with Mean Absolute Error (MAE) and stray pixel count (e.g., MAE 0.00 / 0 stray px) so you can quantitatively verify the reproduction.
Unedited layers remain bit‑perfect; only the regions you edit are newly generated, ensuring honesty in the output.
Yes. Reproducing runs locally and is free, and you can try it immediately on the web UI without signing up.
Auto element‑detection is version 1 and may not be perfect. The tool is designed to be honest by flagging what it cannot precisely reproduce.
The server uses HTTP transport, as shown in the provided `claude mcp add` command.

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