ai.outfitmaker/outfit-assistant

Official registry AI and agents

Your own closet in your AI: outfits from clothes you own, rendered on a model inline.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http outfit-assistant 'https://outfitmaker.ai/mcp/wardrobe'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "outfit-assistant": {
            "type": "http",
            "url": "https://outfitmaker.ai/mcp/wardrobe"
        }
    }
}
Remote (streamable-http)
Claude Code
claude mcp add --transport http outfit-assistant 'https://outfitmaker.ai/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "outfit-assistant": {
            "type": "http",
            "url": "https://outfitmaker.ai/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. OutfitMaker MCP Server
  2. Connect in 10 seconds
  3. Tools
  4. The tools are generic. Your closet isn't.
  5. Notes

OutfitMaker MCP Server

Ask your AI assistant what to wear. OutfitMaker speaks MCP, so Claude, ChatGPT, Cursor and every compatible client can get weather-aware outfit advice with one URL.

Server URL:

https://outfitmaker.ai/mcp

Transport: Streamable HTTP. No API key, no account, free.

Connect in 10 seconds

Claude (web and desktop): Settings, Connectors, Add custom connector, paste the URL.

Claude Code:

claude mcp add --transport http outfitmaker https://outfitmaker.ai/mcp

Cursor / Windsurf / any client that accepts remote MCP servers by URL: same address, HTTP transport.

Tools

ToolWhat it does
what_to_wear_todayLive weather for your city (today or tomorrow with day=tomorrow) plus a complete outfit formula for the occasion. Detects big morning-to-afternoon temperature swings and adds layering advice.
suggest_outfitCurated outfit formulas: 7 occasions across every weather. Accepts min/max temperature and wind for layering and footwear advice. Weather words work in 5 languages.
about_outfitmakerWhat connecting your real closet unlocks.

Example, asked in Claude on a September evening:

Tomorrow in Besancon: 13C in the morning up to 22C, clear sky.

Denim jacket over a plain tee + chinos + white sneakers

Heads-up: 9C swing between morning and afternoon: build on a light base with a removable layer you can shed at midday.

The tools are generic. Your closet isn't.

These formulas are what a good stylist would tell a stranger. The real product is OutfitMaker: photograph your wardrobe once, get daily outfit suggestions from clothes you actually own, weather-aware, previewed on a model. Free to start.

Full setup guide: outfitmaker.ai/mcp

Launch story: Ask your AI what to wear

Notes

  • Rate limited per IP (fair use).
  • No account data is exposed: the public tools are anonymous by design.
  • Server implemented in Rails with the official mcp gem.

Frequently asked questions

What is ai.outfitmaker/outfit-assistant?

Your own closet in your AI: outfits from clothes you own, rendered on a model inline.

How do I install ai.outfitmaker/outfit-assistant?

It runs as a remote server. In Claude Code: claude mcp add --transport http outfit-assistant 'https://outfitmaker.ai/mcp/wardrobe'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ai.outfitmaker/outfit-assistant need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is ai.outfitmaker/outfit-assistant open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains ai.outfitmaker/outfit-assistant?

It is published by elasistentepepe. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.