MCP server

Reprise Official

design.reprise/reprise

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Un-flatten any flat AI design into editable layers, reproduce it bit-perfect, from your agent.

Website

At a glance

Type

MCP server

Publisher

reprise.design (verified by the MCP Registry)

Status

Working at last check

Tools

3

Token cost

About 351 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http reprise https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.reprise]
url = "https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add reprise https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"reprise","server_url":"https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http","require_approval":"always"}

Grok (xAI API tools)

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

Tools

• autodetect ~103 tokens
  Auto-detect the elements (subjects and text) in a design image as relative bounding boxes. Returns: A JSON string with the detected elements (relative bboxes) and their count.
• diagnose ~131 tokens
  Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics.
• reproduce ~117 tokens
  Un-flatten a flat design image into editable layers and reproduce it bit-perfect, returning the fidelity score. Returns: A JSON string with a bit_perfect flag and fidelity metrics (mae, psnr, exact-match %, stray px).

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