Un-flatten any flat AI design into editable layers, reproduce it bit-perfect, from your agent.
| Endpoint | https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http (streamable-http) |
|---|---|
| Registry version | 0.3.0 |
| Now | 3 tools · grade A (100) · pin ts_0c00addf4788447f6f76db8486304e6d · protocol 2025-06-18 |
| First / last listed | 2026-10-26 02:51 UTC / 2026-10-26 02:51 UTC |
| Grade over time | 2026-10-26: A (100), 3 tools |
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Tools: reproduce autodetect diagnose
reproduce | 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). params: image |
autodetect | 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. params: image |
diagnose | Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics. params: original, reproduction |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.