Integration details
Description
Uwear helps fashion teams organize garments, reusable models, locations, and art direction; prepare and approve photoshoot briefs; and generate, edit, and review product images and videos using their existing Uwear account and credits.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- AI Image & Logo Generation
- Secondary Subcategories
- None listed
- Brand
- Uwear
- Access
- Account required
- First tracked
- 2026-09-29
- Tool count
- 66
- Geography
- US
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Other Subcategories where the Integration is listed.
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Competing in ChatGPT AI Image & Logo Generation
View Category66 tools agents can invoke
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.
add_avatar_reference
App-only: append items to the session-scoped Uwear Shoot Board.
mcp_add_context
Analyze any image using AI vision for manual inspection, debugging, visual description, or supplemental critique. Provide exactly one source: generation_result_id for a Shoot Board generation, uploaded_file_id for a Files item, or image_url for a public HTTPS image. Do not use this as the primary QA mechanism when the user asks to QA, quality-check, validate, review, approve/reject, or assess generated results; for QA requests use queue_generation_result_qa first, then read_generation_result_qa.
view_image
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.
apply_backdrop
Call this to approve and idempotently execute a visible persisted Uwear brief. In MCP, a one-word 'Confirm' or phrases like 'looks good', 'run it', 'start', or 'generate' mean execute=true unless the user explicitly says to approve without starting. Use the visible/latest BriefProposal brief_id. Repeated calls return or resume the same durable execution.
confirm_brief
FIRST tool to call for a new photoshoot only when the user has not supplied garment/outfit IDs or textual selectors such as tag names, saved ArtDirection names, location names, or outfit names. Opens the MCP app/gallery so the user can choose assets, add them to the Shoot Board, and press Confirm context. BLOCKS until the user confirms their selection. Do not use this when a no-UI path can resolve the request with list_tags/get_items_by_tag/list_garments or the ArtDirection lookup tools. Do not tell the user to drag assets into chat. If the user has no garments/outfits, ask them to attach garment/product images and use upload_garment_from_chat_file, upload_garment_from_public_url, or create_outfit_from_garment_ids before trying to create a brief. Do not request models when inventory shows avatars=0. Avatar/model is optional; only ask for one when the user wants a specific or consistent person. If they want a model and have none, ask for a person photo and use upload_avatar_from_chat_file, or use generate_avatar if they want Uwear to create a reusable model.
request_user_context
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.
build_avatar_prompt
App-only: clear all session context items, or only one context type.
mcp_clear_context
Copy one generation-preset Template into a contract-typed, detached Production Workflow Generate-node config. The result does not update a Workflow and carries no live Template dependency; insert it through the canonical workflow version authoring tools.
copy_template_to_generate_node_config
Queue the conversation for asynchronous ArtDirection authoring using Uwear's prompt system. Use save=true when the user wants to create, build, or save a reusable ArtDirection. Use save=false when the user explicitly wants an unsaved draft or brainstorming pass. This returns a job ID; call get_art_direction_authoring_job until status is done or failed.
author_art_direction
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.
create_avatar_from_references
Create a Uwear BriefProposal from canonical generation commands. Every commands[].input is the MCP-safe GenerationIntent fields; commands and immutable plans are persisted without translation. Supply a concrete model_slug for generate, edit, upscale, and video. Use durable command.source IDs for uploaded files or generation results, and reference_attachments for additional references. For video, attach available full back or side garment assets that the camera may reveal when capacity permits; having the asset uploaded is not enough. If the response contains video_garment_view_not_attached, explain its exact assets, node, and capacity, then follow its remediation. Never mix reference_attachments with img_ref_urls or append recommendations beyond remaining capacity. Set execute_immediately=true only when the user explicitly asks to run now. Include creative_context for photoshoots and explain the art direction after proposing. For changes to a visible brief, call update_brief with the complete replacement command list. Webhook callback configuration is API-only.
propose_brief
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.
create_location
Create an outfit from existing garment IDs. Pairs saved garments together into a saved outfit without uploading new images.
create_outfit_from_garment_ids
Create a new tag for organizing assets (garments, models, outfits, files, results, locations). Requires an active company workspace.
create_tag
ONLY for video montage/stitching/export workflows. Use when the user explicitly asks to create a montage, stitch clips, make a reel, export a video sequence, make video clips from images, or combine images/videos into one final video. Never use this for a photoshoot, lookbook, product shoot, collection shoot, outfit shoot, garment shoot, or image-generation request; those must use request_user_context followed by propose_brief/update_brief. Do not call this merely because selected context contains images, generations, garments, or models. A photoshoot may later feed a montage, but the photoshoot itself must be proposed as a BriefProposal first. PROPOSES the montage for user review — user can edit clips, generate missing videos, then export. Supports: existing videos with optional trim (`target_duration` or `start_time`/`end_time`), images that need video generation (specify video_model + a bespoke per-image motion prompt, and optionally `target_duration` or `duration`), per-clip speed/mute, global aspect ratio. If the user asks for clips to be e.g. '3 seconds each', set `target_duration: 3` on every item, including image items. For image items, avoid generic repeated prompts: tailor each prompt to the specific image and any requested zoom, movement, energy, or camera direction. If motion is not specified, inspect the image first with view_image and then write a fitting motion prompt from the image content before proposing. The user reviews and confirms in the UI. Export is free (0 credits); video generation clips cost credits per their model.
propose_montage
Permanently delete a library template. Owner-only templates must be deleted through their owning resource.
delete_template
Duplicate a system or company ArtDirection into an editable company copy.
duplicate_art_direction
Estimate credit cost for an operation.
estimate_cost
App-only: export the user-confirmed montage clips as a stitched video. Spends credits, so it is hidden from host LLMs; the MCP iframe calls this after the user presses Export on the MontageProposal card. Returns the generation_id to poll via get_generation_status.
mcp_export_montage
Second step only for local garment images already prepared with prepare_local_garment_upload and uploaded to every returned target. Classify each upload_handle as a full/detail front/back/side asset. Do not use this for ChatGPT attachments or arbitrary public URLs.
finish_local_garment_upload
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 first only for that purpose; if the user's wording is already intentional, pass it directly here.
generate_avatar
App-only: queue an image-to-video generation for a montage clip. Spends credits, so it is hidden from host LLMs; the montage editor calls this when the user presses Generate on a draft clip. Returns the generation_id to poll via get_generation_status.
mcp_generate_clip
Get a selectable ArtDirection by ID.
get_art_direction
Read an asynchronous ArtDirection authoring job. Poll the job ID returned by author_art_direction or iterate_art_direction until status is done or failed. A done job includes the authored markdown and, when save=true, the saved art_direction_id. Iteration jobs also expose their source ID, expected revision, and apply outcome. A failed job includes per-source status and safe failure reason.
get_art_direction_authoring_job
Return the profile ID and active company ID used by this authenticated MCP connection. Use this before a paid operation when a release or audit must prove the connection is scoped to the intended Uwear account.
get_connection_identity
Get user's current credit balance.
get_user_credits
Get a specific garment by ID.
get_garment
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_generation_result_qa or as durable generation_result command.source values in canonical edit, upscale, and video commands. Confirmation-gated clients use propose_brief(commands=[...], execute_immediately=true) when the user asked to run now, update_brief for a complete command replacement, or confirm_brief(execute=true) for a visible brief. Pass generation_result_id to fetch one result or generation_id to list a job's results. Returns raw payload when available so prior prompts can be recovered. Use start_date/end_date for requests like 'last week'.
get_generation_results
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 return a safe error_message and error_type (user, transient, or provider). Status can remain Created while queued/preparing; avoid tight polling loops. UI 'Gemini Pro' maps to model_slug nano-banana-pro or nano_banana_pro_clothing.
get_generation_status
Get all item IDs tagged with a specific tag, grouped by type. Use after list_tags for no-UI MCP requests like 'use my clothes tagged summer26'; then pass the resulting clothing_item IDs as garment_ids to propose_brief instead of opening request_user_context.
get_items_by_tag
Get a reusable location/scene reference by ID.
get_location
Get one saved outfit by ID, including its member garments.
get_outfit
App-only: hydrate the session-scoped Uwear Shoot Board.
mcp_get_context
Load one canonical company template by ID or public t-xxxx share code. Pass expected_template_kind when the caller requires a generation_preset or batch_workflow.
get_template
Queue feedback-driven revision of an existing ArtDirection without resending its markdown. Existing authoring references are included automatically. Use save=false for a reviewable draft, or save=true to update the same company ArtDirection with stale-edit protection. System ArtDirections support drafts only. Poll get_art_direction_authoring_job for the result.
iterate_art_direction
List available AI generation models (image, video, edit, upscale engines) by type, with credit costs, capability limits, and model-specific production guidance. These are the AI models that render photoshoots — not the human models/avatars; for those, use list_avatars.
list_models
List selectable ArtDirections as compact summaries: visible system ArtDirections plus company ArtDirections. Use query to match exact names and natural-language creative requests. Use this as the catalog step before choosing an art_direction_id for a brief; if there is no clear match, fall back to the user's phrase as prompt/creative_context. Use get_art_direction for the full markdown document before reusing one in a brief.
list_art_directions
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.
list_avatars
App-only: list uploaded files for the Uwear MCP workspace files tab.
mcp_list_files
List user's garments with structured filters or query for hybrid name/SKU/metadata/image-attribute search.
list_garments
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.
list_locations
List user's outfits (saved garment combinations). Filter by garment IDs, active status, date range, or query against contained garments.
list_outfits
List available tags for the user's company. Use this to resolve user-provided tag names like 'summer26' before selecting garments, outfits, models, files, generations, or locations. For no-UI MCP flows, find the tag ID here, then call get_items_by_tag or the relevant list_* tool with tag_ids.
list_tags
List canonical company templates, optionally filtered by kind, scope, command use case, or public t-xxxx share code. Templates persist canonical commands but do not execute generations. System templates named `Demo — …` are worked examples of the canonical command language; read one with `get_template` before authoring a first brief or workflow.
list_templates
First step for garment images on the host's local filesystem, such as files in ~/Downloads. Use only when the host can read those local files and perform the returned direct multipart HTTP uploads, such as Codex. Include every returned form field and send the file bytes under the returned file_field. Never send a local path to Uwear. Do not use this for ChatGPT attachments or existing public URLs. After every upload succeeds, call finish_local_garment_upload with the returned upload handles.
prepare_local_garment_upload
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.
propose_outfits
Read official Uwear QA status, decision, and structured QA JSON for existing generation results. Call this after queue_generation_result_qa when the user asks to QA/check/validate/review generated outputs; summarize the structured decision and issues, not a manual view_image opinion.
read_generation_result_qa
Load an existing persisted brief unchanged by a real positive brief_id. Only use when the user supplied that brief_id or after propose_brief/update_brief returned it and the user wants to re-open the same brief. Never use brief_id=0, a placeholder, or a guessed ID. Never use this to start a new photoshoot. When the user asks to modify, rewrite, add steps to, or show an adjusted brief, call update_brief with the complete updated brief instead of looping on get_brief.
get_brief
App-only: replace the session-scoped Uwear Shoot Board items.
mcp_replace_context
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Uwear alternatives on ChatGPT?
As of 2026-09-29, Uwear competes with Alpix, Apixel, FLORA, HTML/CSS to Image API, Inkroost, Kive, LogoGenic Image Generator, MangaBoom, Musamimuk, OEG AI Studio, Pedra, Vivin in ChatGPT AI Image & Logo Generation, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.