Enterprise AI Visual Production for Fashion | Uwear.ai
Uwear.ai
Generate catalog-ready on-model fashion visuals at enterprise volume with brand consistency, QA, retries, API delivery, and implementation support.
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Last probed Nov 3, 2026 · api.uwear.ai
66tools discovered
For AI agents — MCPBundles Directory API
For MCP client apps (human connect):
MCP connect URL: https://api.uwear.ai/mcp
Skill page: https://www.mcpbundles.com/skills/uwear-mcp-da7c03b2ec
Explore capabilities (66)
read 12
write 13
Showing 25 of 66
Showing 25 of 66 tools from the public preview. Connect the server to inspect the full live tool list.
Get5
Create4
List4
Upload3
Other capabilities9
Search Library
read
search_uwear_library
Universal hybrid retrieval across the user's visible Uwear library: garments, avatars/models, locations, ArtDirections, uploaded files, and generation results. This is a finder, not a recommender. Use short keyword queries (2 to 5 words), one concept per call, or an exact name/SKU/ID. Every word must match for lexical results; long sentences can return no lexical matches. A query describing one garment finds that garment, not complementary garments. Vector results stay close to the best match. U
Description may be truncated on the public preview.
Search Library — Universal hybrid retrieval across the user's visible Uwear library: garments, avatars/models, locations, ArtDirections, uploaded files, and generation results. This is a finder, not a recommender. Use short keyword queries (2 to 5 words), one concept per call, or an exact name/SKU/ID. Every word must match for lexical results; long sentences can return no lexical matches. A query describing one garment finds that garment, not complementary garments. Vector results stay close to the best match. U
List Garments — List user's garments with structured filters or query for hybrid name/SKU/metadata/image-attribute search. body_zone expands to categories and is ORed with category when both are given. Garments may have no category. A category or body_zone filter excludes them unless include_uncategorized is true.
Get Garment — Get a specific garment by ID.
Upload Garments from Chat — Batch upload garments from ChatGPT attachments. Defaults to background removal; pass processing_mode='none' to store original images as-is. Pass actual file objects only in top-level image_file_1, image_file_2, etc. Prefer garments[].assets with {asset_kind: full|detail, asset_view: front|back|side, image_file: 'image_file_N'}; exactly one full front is required, every full view is unique, and detail views can repeat. Do not rely on array position to pair assets; every asset must reference its e
Upload Garments from URL — Queue a recoverable batch upload from public HTTP(S) image URLs and return an operation immediately. Retry with the exact same arguments to read the stable operation state; retries do not create another upload. Defaults to background removal; pass processing_mode='none' to store original images as-is. Prefer assets with {asset_kind: full|detail, asset_view: front|back|side, asset_url}; exactly one full front is required, every full view is unique, and detail views can repeat. For ChatGPT attachm
List Avatars — List the user's avatars: the reusable people who wear the garments, called 'models' or 'mannequins' in fashion terms (not the AI engines — for those, use list_models). Supports structured filters or query for hybrid name/metadata/image-attribute search. Set include_image_url=true when the avatar image itself is needed.
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
What is the Enterprise AI Visual Production for Fashion | Uwear.ai MCP server?
Generate catalog-ready on-model fashion visuals at enterprise volume with brand consistency, QA, retries, API delivery, and implementation support.
How do I connect Enterprise AI Visual Production for Fashion | Uwear.ai to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
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Upload Avatars from Chat — Batch upload reusable avatars/models from person photos the user attached in chat. Each photo becomes the upper_body_front identity anchor. Keep names and optional user-given age_range, build, and height_cm in avatars[], then pass top-level image_file_1, image_file_2, etc. in the same order. Traits are never guessed. No base64, no local paths. Do not use ordinary text-to-image results as an upload fallback; use generate_avatar followed by save_generated_avatar for Uwear-created avatars. Use only
Generate Avatar Reference — Generate reusable avatar/model references through the same creator path as the Uwear app. The default view is upper_body_front, a clean bust identity anchor. For a draft multi-view avatar, generate the bust first, pass its result URL in identity_reference_urls when generating each slot view, then save the chosen results together with save_generated_avatar. Traits are optional user-given facts and are never guessed. If the user wants help writing the person description, call build_avatar_prompt f
Save Generated Avatar — Save completed generate_avatar image results as one reusable avatar/model. Pass the identity-anchor result as generation_result_id and optional view results as additional_result_ids; each result fills the slot recorded in its avatar_creator.view metadata. Use only after generation finishes and the user chooses the candidates. Normal text-to-image results are not eligible.
List Outfits — List user's outfits (saved garment combinations). Filter by garment IDs, active status, date range, or query against contained garments.
Get Outfit — Get one saved outfit by ID, including its member garments.
Create Outfit — Create an outfit from existing garment IDs. Pairs saved garments together into a saved outfit without uploading new images.
Build Avatar Prompt — Build a highly detailed prompt for generating a unique reusable avatar/model. Use this when the user wants help describing a person before image generation. If the user's prompt is already intentional and specific, Uwear can skip this and pass the user's wording directly to generate_avatar.
Propose Outfits — Use Uwear's outfit proposer to create styled outfit combinations from selected garments. Returns candidate titles, clothing_item_ids, and short rationales; call create_outfit_from_garment_ids only after the user chooses a proposal to save.
Create Avatar from References — Create one reusable avatar/model from an ordered set of generated avatar views, owned workspace files, and public image URLs. Each reference fills one durable slot. Traits are optional user-provided facts and are never inferred.
Add Avatar Reference — Fill or replace one reference slot on an existing owned avatar/model from an owned workspace file, an owned generation result, or a public image URL. Creator-linked slots keep their source guard.
List Locations — List reusable location/scene reference images by structured filters or query: IDs, tags, date range, and sort. Use when the user wants to pick a saved background/location reference for a generation.
Get Location — Get a reusable location/scene reference by ID.
Create Location — Create a reusable location/scene reference from an image URL. If no description is supplied, the backend analyzes the image. Use the returned location_id in propose_brief/update_brief.
Update Garment — Update a garment's metadata or patch its product photos. Send image changes through assets[] with front/back/side/detail roles. Provided front/back assets replace those singleton roles; provided side/detail assets are added. Omitted existing assets are preserved.
Create Tag — Create a new tag for organizing assets (garments, models, outfits, files, results, locations). Requires an active company workspace.
Submit Uwear Feedback — Submit a bug report or feature request to Uwear and return a private receipt. This creates a support record and can notify Uwear staff. Call it only when the user explicitly asks to submit, send, or report feedback, or after they confirm the exact summary. Never submit automatically because an error occurred, and never include the full conversation, credentials, secrets, raw provider payloads, or private URLs.
Get Generation Status — Check generation job status. Completed results may include labeled native ImageContent previews; use them directly and never Markdown-embed result URLs. They are display previews, not originals: url/download_url are originals, preview_url is the fallback link, and poster_url/thumbnail_url is a video poster. Returns status, raw payload, settings, avatar_id, model_id, model_slug, use_case, net credits_charged, credits_refunded, estimated_processing_seconds, and status_guidance. Failed jobs also re
Get Generation Results — Look up generation results by exact IDs, filters, or hybrid image/name/SKU search. Returns labeled native ImageContent previews; use them directly and never Markdown-embed result URLs. They are display previews, not originals: url/download_url are originals, preview_url is the fallback link, and poster_url/thumbnail_url is a video poster. Every result includes generation_result_id and the response includes generation_result_ids; use those exact integers for queue_generation_result_qa/read_genera
Apply Backdrop — Remove or replace an image background through Uwear's canonical free backdrop generation path. Provide exactly one foreground source: generation_result_id, clothing_item_asset_id, or a public HTTPS image_url. Use backdrop_mode transparent, solid with color_hex, or image with background_image_url. Returns generation_id; poll get_generation_status, then fetch get_generation_results.
Showing the first 25 tools — full list and schemas: Directory API.
How many tools does Enterprise AI Visual Production for Fashion | Uwear.ai provide?
MCPBundles probed 66 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does Enterprise AI Visual Production for Fashion | Uwear.ai require?
Enterprise AI Visual Production for Fashion | Uwear.ai may require signing in to the provider before tools can run. Connect through MCPBundles or your MCP client and complete any provider login when prompted.
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