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Reprise MCP Server

@tepesama

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

tepesama

投稿者

Osaka TTLAND

Reprise MCP Server について

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-

#design#image#layers#mcp#agent#ai#automation

Reprise MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "reprise": {
      "type": "http",
      "url": "https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http"
    }
  }
}

Reprise MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Reprise?

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.

How to use Reprise?

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.

Key features of Reprise

  • Turns flat AI designs into editable layers with fidelity scoring.
  • Fidelity measured by Mean Absolute Error (MAE) and stray pixel count.
  • Runs locally and is entirely free – no signup required.
  • Remix one design into multiple on‑brand variants.
  • Unedited layers remain bit‑perfect; only edited regions are newly generated.
  • Auto element‑detection (v1) provides identified elements.

Use cases of Reprise

  • Verify that AI‑generated designs are faithfully reproduced.
  • Edit and remix a single AI design into several brand‑consistent variants.
  • Integrate design verification and remixing into MCP‑based automation workflows.

よくある質問

1

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.

2

What happens when layers are edited after reproduction?

Unedited layers remain bit‑perfect; only the regions you edit are newly generated, ensuring honesty in the output.

3

Is Reprise free to use?

Yes. Reproducing runs locally and is free, and you can try it immediately on the web UI without signing up.

4

What are the current limitations?

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.

5

What transport does the MCP server use?

The server uses HTTP transport, as shown in the provided `claude mcp add` command.

コメント

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