MCP server
hypsh fashion stylist Official
com.hypsh/fashion
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Natural-language fashion search and complete outfits from real shop pieces. Anonymous, read-only.
Working at last checkVerified publisher: hypsh.comAbout 746 tokens per request once connected2 tools
https://mcp.hypsh.com/mcp
At a glance
- Type
- MCP server
- Publisher
- hypsh.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 2
- Token cost
- About 746 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http fashion https://mcp.hypsh.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.fashion] url = "https://mcp.hypsh.com/mcp"
Gemini CLI
{"mcpServers":{"fashion":{"httpUrl":"https://mcp.hypsh.com/mcp"}}}
Cursor
{"mcpServers":{"fashion":{"url":"https://mcp.hypsh.com/mcp"}}}
VS Code
{"servers":{"fashion":{"type":"http","url":"https://mcp.hypsh.com/mcp"}}}
Antigravity
agy mcp add fashion https://mcp.hypsh.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"fashion","server_url":"https://mcp.hypsh.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"fashion","server_url":"https://mcp.hypsh.com/mcp"}
Tools
generate_outfit~428 tokens
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 asemantic_search~318 tokens
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-tex
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Badge for your README
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