hypsh fashion stylist MCP Server

by hypsh Your server? Claim it

answering

hypsh fashion stylist is answering right now. Last checked 5 min ago. It exposes 2 tools.

Natural-language fashion search and complete outfits from real shop pieces. Anonymous, read-only.

Uptime history 6 days of history

6 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

107 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 2

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 27 October 2026. No other catalogue keeps this.

27 Oct 2 tools changed the parameters they ask for generate_outfit, semantic_search

Nothing serious here today

Today is the operative word: we check hypsh fashion stylist every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add fashion --transport http https://mcp.hypsh.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://mcp.hypsh.com/mcp

~/.codex/config.toml

[mcp_servers.fashion]
url = "https://mcp.hypsh.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "fashion": {
      "url": "https://mcp.hypsh.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "fashion": {
      "type": "http",
      "url": "https://mcp.hypsh.com/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

generate

generate_outfit

Use this when the user wants a complete outfit. Primary chat path is prompt-based generation; widget actions may call this with product_id for item-based outfit generation. Pass `gender` when you know who the outfit is for. Do not use this for single-item product search. The result's `content` is a plain-text summary of the outfit (each piece with brand and price); `structuredContent.outfit` holds the same pieces with product ids and shop links.

semantic

semantic_search

Use this when the user wants to find specific fashion products (clothing, footwear, accessories) by text, optionally guided by images. Pass `gender` when you know who the clothes are for. Do not use this for full outfit generation or visualization-only requests. The result's `content` is a plain-text list of the products (brand, price); `structuredContent.products` holds the same products with ids and shop links.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.hypsh.com/mcp	streamable-http	answering	117 ms	5 min ago

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hypsh fashion stylist — questions

Answers built from our own checks of this server.

What can hypsh fashion stylist do?

It exposes 2 tools, read directly from the server on our last check. Among them: generate_outfit, semantic_search. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is hypsh fashion stylist working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 107 ms. The bar chart above shows every period we have measured.

How do I connect hypsh fashion stylist?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does hypsh fashion stylist need an API key?

No. hypsh fashion stylist completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is hypsh fashion stylist?

It answers our handshake in 107 ms on average, which is faster than 91% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.