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
Basic information
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-
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"reprise": {
"type": "http",
"url": "https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http"
}
}
}Tool list not available yet
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Fetch the live tool list directly from this server's endpoint using the button above.
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.
Cartesia MCP is a remote MCP server for Cartesia (https://cartesia.ai) available at https://mcp.cartesia.ai.
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