{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_fshhnshkza57","handle":"reprise","url":"https://wellknown.network/agents/reprise","links":{"self":"https://wellknown.network/agents/reprise/record.json","html":"https://wellknown.network/agents/reprise","markdown":"https://wellknown.network/agents/reprise/record.md","api":"https://wellknown.network/api/v1/agents/reprise","status":"https://wellknown.network/api/v1/agents/reprise/status","claim":"https://wellknown.network/agents/reprise/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/reprise/claim.json","badge":"https://wellknown.network/agents/reprise/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/reprise/history","tools":"https://wellknown.network/api/v1/agents/reprise/tools"},"ard":{"identifier":"urn:air:tepesama-reprise-mcp.hf.space:server:reprise","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"reprise","summary":"Un-flatten any flat AI design into editable layers, reproduce it bit-perfect, from your agent.","description":"Un-flatten any flat AI design into editable layers, reproduce it bit-perfect, from your agent.","publisher":{"name":"design.reprise","url":null},"homepage":"https://reprise.design","repository":null,"version":"0.3.0","license":null,"protocols":["mcp"],"tags":[],"pricing":null,"endpoints":[{"url":"https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http","type":"mcp_streamable_http","auth":null,"probeable":true}],"skills":null,"tools":null,"extra":{"updatedAt":"2026-06-20T08:16:41.750415Z","publishedAt":"2026-06-20T08:16:41.750415Z","registryName":"design.reprise/reprise"},"attribution":{"kind":"mcp_registry","name":"mcp_registry","summary":"mcp_registry","version":"mcp_registry","description":"mcp_registry","homepageUrl":"mcp_registry","publisherName":"mcp_registry"}},"derived":{"capabilities":[{"slug":"media.3d","name":"3D & Design","confidence":0.885,"provenance":"derived"}],"categories":["media"],"language":"fr"},"observed":{"status":"live","statusReason":"Responded 7h ago.","lastOkAt":"2026-10-09T20:30:59.910Z","lastProbedAt":"2026-10-09T20:30:59.910Z","statusComputedAt":"2026-10-09T20:32:06.532Z","reliability30d":{"probes":108,"successRate":1,"p50Ms":167,"basis":"service","measures":{"availability":"availability","latency":"response time","tools":"tool surface observed","summary":"Checks reached the service itself."},"checks":{"total":108,"ok":108,"authBoundaryOk":0,"serviceOk":108,"note":"Counted from the observation rows for the window, checks of the server only (HTTP, A2A card, MCP initialize). ok = authBoundaryOk + serviceOk. `probes` is the sum of daily rollups and includes registry checks, so it can differ from `total`."}},"latestObservations":[{"at":"2026-10-09T20:30:59.910Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":162,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T14:31:48.175Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":164,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T08:29:16.183Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":163,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T02:27:46.323Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":160,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T20:24:02.758Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":161,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T13:22:15.339Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":167,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T06:24:18.497Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":158,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T00:25:43.785Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":161,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-07T17:30:29.705Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":229,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-07T10:50:07.519Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":161,"error":null,"detail":{"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"toolCount":3,"toolsHash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","capabilities":["experimental","prompts","resources","tools"],"serverVersion":"1.28.0","protocolVersion":"2025-06-18"}}],"tools":[{"name":"reproduce","description":"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 a"},{"name":"autodetect","description":"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) a"},{"name":"diagnose","description":"Score how faithfully a reproduction matches an original (MAE / PSNR / exact-match % / stray px). Returns: A JSON string with the fidelity metrics."}],"package":null,"toolSurface":{"id":"ts_jhv8kkk7wehs","endpointId":"ep_whkz2kfvqnk7","hash":"3d2f70f2604a34f9be09a0c60742a0a1c89f864ec5b2218b0bbc9286aa05604e","toolCount":3,"serverName":"Reprise — un-flatten any flat AI design (bit-perfect)","serverVersion":"1.28.0","protocolVersion":"2025-06-18","firstSeenAt":"2026-09-12T10:26:06.260Z","lastSeenAt":"2026-10-09T20:30:59.932Z","observations":101,"toolNames":["reproduce","autodetect","diagnose"],"distinctSurfaces":1},"endpointFacts":[{"id":"ep_whkz2kfvqnk7","url":"https://tepesama-reprise-mcp.hf.space/gradio_api/mcp/http","type":"mcp_streamable_http","factsCheckedAt":"2026-10-08T20:24:02.804Z","auth":{"observedAt":"2026-10-08T20:24:02.960Z","authRequired":false,"scheme":null,"resourceMetadata":null,"authorizationServer":null,"conformance":{"dpop":false,"rfc8414":false,"rfc9728":false,"pkceS256":false,"clientIdMetadataDocument":false,"dynamicClientRegistration":false}},"tls":{"observedAt":"2026-10-08T20:24:02.995Z","protocol":"TLSv1.3","chainValid":true,"chainError":null,"hostMatches":true,"subject":"hf.space","issuer":{"commonName":"Amazon RSA 2048 M04","organization":"Amazon"},"validFrom":"2026-09-27T00:00:00.000Z","validTo":"2027-04-12T23:59:59.000Z","daysToExpiry":184,"sanCount":2,"fingerprint256":"AE:06:0F:63:E3:E7:75:7E:D5:AA:F4:3B:ED:61:42:81:E6:71:08:92:28:BC:3E:A6:DB:30:D5:83:74:A2:44:56"}}]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"mcp_registry","key":"design.reprise/reprise","url":"https://registry.modelcontextprotocol.io/v0/servers/design.reprise%2Freprise","firstSeenAt":"2026-09-05T22:18:29.238Z","fetchedAt":"2026-10-09T13:21:47.654Z","normalizedAt":"2026-10-09T13:21:47.654Z"}]},"firstSeenAt":"2026-09-05T22:18:29.238Z","updatedAt":"2026-10-09T20:33:11.106Z"}