Readiness
98Up from 65 before enhancement. The same score every store in this directory gets
Agents already shop your store. Find your readiness score.
See how fashion retailers are preparing for agentic shopping and how visible your products are to AI agents.
Better Endpoint
What Agent Readiness Looks Like
One real listing in this directory, probed before and after enhancement. Same store, same products.
4,577 Fashion Stores Indexed
Find Your Brand.See Where It Stands.
The fashion MCP server list, filter by capability, protocol, and readiness score to find your store and the ones you compete with.
Capability
Updating directory...
How We Score
A Score on Its Own Is a Shrug. Here Is the Scale.
We probe each server with a fixed set of shopper queries and score what an agent can actually answer, across four groups.
BandRangeWhat it means for an agent
Invisible0 - 29
An agent can reach the catalog and still cannot answer a shopper.
Keyword Only30 - 54
Category words work. Anything descriptive returns nothing or the wrong thing.
Readable55 - 74
Handles most shopper phrasing. Loses occasion, fit, and fabric queries.
Agent Ready75 - 100
Answers the way a shopper asks, including outfit and follow-up questions.
Before and After
What a 98 Looks Like
Looxloo, probed native and probed enhanced. Same store, same products, same photos. Only the data changed.
Search success rate
97%Up from 80%. Share of shopper queries that came back with relevant products.
Structured tools
10Up from 2. Reviews, size and fit, promotions, brand and store info, each one a tool an agent can call.
Native or Enhanced
Two Tiers of Endpoint
Same protocol, same tool names. What changes is the data behind them and the discovery services wired in front. Every endpoint in the directory is free for builders to query.
The store's own MCP
Whatever the catalog exposes today — usually product titles, prices, and stock over keyword search. Listed, scored, and scanned at no cost.
- Data: titles, prices, stock
- Search: keywords only
- Tools: basic
Enhanced MCP
We tag your catalog with 10–15 fashion attributes per product, then wire the full discovery stack in front of it
- Data: described, not just titled
- Search: reads a full sentence and images
- Tools: complete the look, similar styles, reviews, size and fit, special promotion, etc
Run a Fashion Brand? Let's make your catalog agent-ready.
What you walk away with
- Your readiness score, and the exact queries agents fail on your catalog today.
- What enrichment adds: fashion attributes, search that reads a full sentence, complete the look, similar styles, reviews, size and fit
- Timeline, pricing, and who on your side needs to be involved.
Steal These Prompts
Build Your Own Way to Shop
Copy a prompt, point it at live catalogs in this directory, and you have your own way to search and discover. Real products, live prices, live stock.
Shoe Tournament
Can't pick a favorite? Shoe Tournament turns shopping indecision into a game. You judge every head-to-head matchup until your winning pair is crowned, ready to shop in one tap.
Built by @defg.dev
0 remixes
IG Feed Builder
Your Instagram feed, built straight from the catalog. Pick a retailer, describe a category and mood, then choose from live product candidates, design right on the images Canva-style, and export ready-to-post PNGs.
Built by @hijkm.dev
0 remixes
Fashion Gumball
Type a vibe, set a budget, pull the lever — Fashion Gumball dispenses a complete outfit from real store catalogs, priced to fit.
Built by @zerosumgame
0 remixes
Build your own AI Stylist
An agent that dresses a shopper head to toe from real inventory across every store you connect.
For Builders
Three Steps to Your First Query
Every MCP server here speaks the same four tools. You do not need to know how to build an MCP server to start. Three steps, and you are building against real catalogs.
1
Pick Your Stores
Filter by category, region, and tier. Add the Directory MCP and let the agent choose.
2
Connect
Copy-paste config for Claude, ChatGPT, and any MCP-speaking agent sits on every listing.
3
Ask Like a Shopper
Real catalogs, live prices, live stock — and an outfit at the end of it.
One End Point
Connect the Whole Directory at Once
The Directory MCP wraps every store listed here behind a single endpoint. One query fans out across catalogs and comes back with products, prices, stock, and the store each result belongs to. You add stores by filter instead of by config, and new listings appear without you shipping anything.
https://mcp.yesplz.ai/directorysearch_all
One query, results from every store that matches, ranked together rather than store by store.
scope
Narrow to a category, region, ships-to market, or minimum readiness score before the query runs.
resolve_store
Hand back a single store's own endpoint when you want its full tool set for a deeper session.
Built something? Submit to Show the Community
Don’t forget to upvote the prompts that worked for you.
MCP FAQs
What is a fashion MCP server?
An MCP (Model Context Protocol) server is a small API layer that lets AI agents talk to a store's catalog through a shared, open standard. A fashion MCP server exposes tools like product search, similar styles, outfit suggestions, and review Q&A, so agents can query live products, prices, and stock without scraping the storefront. With a single MCP server, a retailer makes its products accessible to every AI shopping agent, and anyone, whether a shopper, a merchandiser, or a new store owner, can quickly build AI-powered shopping experiences on top of the catalog.
Are MCP servers free?
The protocol is open and free, and many stores run their own MCP server at no cost beyond hosting. In this directory, listing and scoring any server is always free. Enhanced servers, where YesPlz tags the catalog and runs the full discovery stack, are a paid production service.
How is the Agent Readiness Score calculated?
We probe each server with a fixed set of real shopper queries across the four standard tools and score what an agent can actually answer: attribute depth, occasion queries, result relevance, and price and stock accuracy. Scores are re-verified daily and the methodology is public. Listings and scores are never paid, ever.
I'm a retailer/brand. How do I build an MCP server for my fashion store?
Two paths. Build it yourself: expose your catalog over MCP with search at minimum, and the open guides in our Build section show how to test it against the directory's scoring. Or skip the build: YesPlz runs an Enhanced MCP server for you, with your catalog tagged, the full discovery stack wired in, and your branding on your domain. Either way, listing and scoring in the directory is free.
How do I connect a store's MCP server to Claude or ChatGPT?
Every listing includes copy-paste config for Claude, ChatGPT, and any MCP-speaking agent. Add one store, or add the Directory MCP itself and your agent picks stores per query with search_retailers and suggest_retailers_for_intent.
How do I get my store listed, and is it free?
Free, always. If your store has a public MCP server, request a scan and we'll probe, score, and list it. No server yet? Run the free scan on your storefront and we'll email you the readiness score and what a server would unlock. Listings are never paid and never ranked by payment.
What's the difference between MCP and UCP?
MCP (Model Context Protocol) is an open standard created by Anthropic and now supported across the industry, including Claude and ChatGPT. It lets AI agents read and query a store's catalog: search, compare, style. That's the discovery side. UCP (Universal Commerce Protocol) is a commerce standard led by Google with partners including Shopify, and it covers the transaction side: carts, checkout, payment. They're complementary. An agent can find the dress over MCP and buy it over UCP.
Do you list UCP endpoints too?
Not at this point. We're starting with MCP, then adding UCP and other channels. Stay tuned.
How do brands get listed here?
Two ways: some are brands we admire and added ourselves, others asked to be listed. Either way, we verify MCP availability and security before anything goes live. Want your brand on the list? It's free — just reach out.
