Who it is for
Women who follow fashion editorial and want recommendations limited to brands and prices they already shop.
Personalised fashion picks from Who What Wear editors
Overview
Built by Future PLC, this app applies the Who What Wear editorial approach to fashion questions asked in chat. A four-step setup collects style descriptors, the brands actually bought across contemporary, luxury, denim and accessories, admired style icons, and a price ceiling. The resulting profile persists between conversations instead of resetting each time.
Two kinds of answer follow. Item requests return three to five options weighted toward the listed brands, each with a full outfit around it: top, bottom, shoes, and an accessory or two. Editorial requests pull from the live Who What Wear UK feed and surface matching articles as image cards linking to whowhatwear.com.
Scope is bounded. No menswear, beauty, or home decor, no live inventory or prices, and nothing is fabricated when the feed has no match.
Women who follow fashion editorial and want recommendations limited to brands and prices they already shop.
The saved profile carries across conversations, and the app declines to invent links or images when the feed has nothing relevant.
Availability
Who What Wear is listed in the ChatGPT apps directory only. Future PLC has no connector under the same domain in the Claude directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.
ChatGPT apps are built on MCP, and the same server can back a Claude connector, so the absence is a distribution decision rather than a technical one.
ChatGPT listing
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This is an independent catalogue entry compiled by Node8 from Who What Wear's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Future PLC, and inclusion here is not an endorsement.
Node8 builds MCP servers end to end: deciding which tools are worth exposing, the authentication and permission model, the review submissions, and the onboarding that gets them used. One server serves ChatGPT, Claude, and Microsoft Copilot.