Product · MCP

Turn every fashion brief into a reusable production workflow.

Bring the AI assistant and subscription you already use, whether that is Claude, ChatGPT, Codex, or another compatible client. Drive Uwear production tools through MCP and carry one brief through art direction, generation or edits, automatic QA, and repeatable runs. For runs that should start themselves, Production Automation picks up the same chain.

Three on-model photos generated in one Uwear MCP run: a polka-dot blouse with a camel skirt, a brown halter top, and a black halter top0:37

One chat, start to finish: upload the collection folder, set the art direction, run the photoshoot. Watch on YouTube

Agent Mode is retired; conversational production now happens through Uwear MCP, inside the AI assistant you already use, with your Uwear assets and production history connected. For runs that should start themselves, the same chain lives on the Production Automation canvas: build it once, publish a version, and let triggers rerun it.

Install

Connect your assistant. Build the workflow once.

Bring the AI assistant and subscription you already use, whether that is Claude, ChatGPT, Codex, or another client that supports remote MCP servers. With the Uwear tools available through MCP, your assistant can prepare the brief, shape art direction, start generation or edits, and run automatic QA when enabled. You keep approval points where you need them. Production Automation carries the same production chain into a published workflow that reruns on its own.

MCP server URL

https://api.uwear.ai/mcp

MCP registry name

ai.uwear/uwear

Find Uwear in the official MCP Registry under ai.uwear/uwear. Use it as an additional discovery path; the remote server URL and client setup steps stay the same.

Start with a local agent if you can. Claude Code and Codex read garments straight from your folders and write finished images back to disk, exactly where your pipeline expects them. Chat workspaces take a short trip through Settings.

One command, then authenticate. A local agent reads your product folders and writes results back to disk.

  1. 1

    Add the server:

    claude mcp add --transport http uwear https://api.uwear.ai/mcp
  2. 2

    Run /mcp inside Claude Code and complete the OAuth login with your Uwear account.

  3. 3

    Ask for a Uwear photoshoot plan. The brief comes back for approval before any run.

The full agent surface

The MCP endpoint is the action layer. Skills, UWEAR.md, llms.txt, the JSON blog API, and the REST API help agents discover Uwear, learn the production contract, and choose the right way to work.

Agent skills

Install repeatable Uwear workflows or read the machine-readable manifest before connecting a tool.

Agent-readable docs

UWEAR.md documents the production contract. llms.txt gives AI crawlers a concise map of the product.

REST API

No MCP client? The same production over REST, with webhooks, QA, and metadata traceability.

See the workflow from prompt to costed brief in How to run an AI fashion photoshoot without leaving ChatGPT or Claude.

The toolkit

Ask for work, not for features.

Each of these is one message in the chat where you installed Uwear. Every generation stops at a costed brief before credits are spent.

01

One prompt becomes a costed brief.

One prompt becomes a costed brief.0:11
Generated on-model look: jacket with wide-leg jeans in an urban editorial setting
Generated on-model look: cobalt hoodie with sweatpants
Generated on-model look: taupe hoodie with a skirt

02

Local agents read your files.

Local agents read your files.0:11

drops/s26/

line-sheet.csv · 24 SKUs

flats/ · 24 images

plan

24 looks · one image per SKU

estimated 96 credits

✓ brief ready for review

03

QA comes back with reasons.

QA comes back with reasons.0:11
Rejected generation: the jacket shows five buttons instead of fourRejected: five buttons
Approved retry of the same look with the correct four-button jacketApproved on retry

04

Results land where you work.

Results land where you work.0:12

assets/pdp/

DJ-2026-BLU_front.jpg

DJ-2026-BLU_detail.jpg

SK-2026-TPE_front.jpg

...

✓ 12 files written

Approved on-model look delivered to the local assets folder

05

Every top meets its best bottom.

Every top meets its best bottom.0:12
Cobalt hoodie paired with jeans, on model
Cobalt hoodie flatWide-leg jeans flat
Jacket paired with a skirt, on model
Jacket flatSkirt flat
Taupe hoodie paired with sweatpants, on model
Taupe hoodie flatSweatpants flat

Enterprise

Built for catalog work that starts outside Uwear.

Use the MCP when production begins in a conversation, a shared folder, a product feed, or an agentic workflow.

Creative teams

Turn one seasonal direction into consistent PDP, editorial, and video outputs.

Ecommerce teams

Prepare SKU-level production runs from product data without rebuilding briefs by hand.

Technical teams

Let Codex organize folders, CSVs, and briefs, then route approved work through Uwear MCP.

One platform, three ways in

The same production infrastructure, reached your way.

Studio, API, and the MCP share one model library, one clothing workspace, and one generation history. Pick the access path that fits the work, and move between them as the job changes.

MCP FAQ

What enterprise teams usually ask about the MCP app.

A remote MCP server that turns your AI assistant into a fashion photoshoot tool. Inside ChatGPT, Claude, or Codex, the assistant browses your clothing and models, assembles looks, and prepares a costed photoshoot brief that you review and approve before anything runs.

Yes. Connect the Uwear MCP server and ask for a shoot in plain language. The assistant does the work on your behalf: it reads your garments, picks models, plans the looks, and shows you the itemized cost. Generation runs on Uwear once you confirm, and the finished product photos land in your workspace.

Because you never leave the chat. The assistant already has your context, from folders and CSVs to line sheets and earlier messages, so there is nothing to re-upload or re-explain. It handles the production steps for you, and the brief-approval gate keeps every credit spend under your control.

ChatGPT and Claude connect through their app and connector settings. Claude Code and Codex connect with one command plus an OAuth login. Any client that supports remote MCP servers works with the same URL, and agents can also read uwear.ai/llms.txt or UWEAR.md directly.

Ask it to. A bounded brief is the whole job: the SKU list or line sheet, the views per SKU, the saved art direction, QA on, and a spend cap. The assistant prices it first — SKUs × views × credits per image, at $0.10 a credit — and nothing runs until you confirm. Run a pilot of 10 to 20 SKUs, read the QA rejections, then release the rest in batches; the schedule follows the measured pilot, not a promise. Approved files land in your workspace, named by SKU.

No. Every run goes through brief review first: the itemized looks, the request count, and the exact credit cost. Generation only starts after you confirm.

In your Uwear workspace, in the same library Studio uses. You can review and QA them in Studio, keep iterating in chat, or pull them through the API.

No. MCP authenticates with your existing Uwear account. Studio, the API, and MCP all use the same credits and asset workspace.

Run the first collection brief.

Install the MCP in your workspace, or bring one catalog workflow and we will run it with you.

Existing customer? Log in to Studio

Pairs with Studio · API · Batch workflows

White cropped jacket and washed-blue trousers against the Noir Chrome wall
Black velvet-floral midi dress in profile under the Noir Chrome rim light
Brown strapless mini dress beside a chrome chair on the glossy black floor