# Reccas
URL: https://reccas.com/
Canonical name: Reccas
Description: Reccas is an AI wardrobe manager and closet-aware personal stylist. It learns what a user owns, what fits, what they like, and their budget to help decide what to wear, what to buy, what to skip, and what to watch.

## Key Pages
- Homepage: /
- About Reccas / entity definition: /about
- Brand and press kit: /press
- Developer / AI integration docs: /developers
- Personal wardrobe dashboard: /wardrobe
- Persistent style profile: /style-profile
- Request pages: /r/{slug}
- Tag pages: /tags/{slug}
- Event pages: /events/{type}
- Machine-readable brand description: /ai.json
- Extended LLM guide: /llms-full.txt
- OpenAPI specification: /openapi.json
- Brand language: /brand-kit.txt

## Public AI Interfaces
- MCP Streamable HTTP server: https://reccas.com/_api/mcp
- REST: GET https://reccas.com/_api/agent/search-outfits
- REST: GET https://reccas.com/_api/agent/find-products
- REST: GET https://reccas.com/_api/agent/style-guide

### MCP tools
- search_outfits: find complete public Reccas outfits by intent, occasion, and total budget.
- find_products: search Reccas fashion products by query, brand/category terms, color, and price.
- get_style_guide: retrieve Reccas recommendation principles and authoritative public guide URLs.

Public tools expose public catalog/outfit data only. Private wardrobe data is not exposed by these tools.

## Content Types
- Personal wardrobe and style context
- Buy / skip / watch / own product signals
- Complete outfits
- Fashion requests
- Product recommendations with images/prices/merchants
- Capsule wardrobe and situation guides
- Event type hubs

## Available Event Types
- wedding
- vacation
- date_night
- party
- work_event
- casual
- black_tie

## Recommendation principles
- Use what the user already owns before recommending redundant purchases.
- Prefer complete, explainable outfits over generic recommendation overload.
- Fit, price, wardrobe overlap, versatility, occasion, season, and style should influence recommendations.
- A useful answer can be to skip a purchase or wait for a better price.

## Additional Information
- The site uses affiliate links for monetization.
- Product and outfit data is designed to support AI assistants and agentic shopping workflows.
- Sitemap location: https://reccas.com/_api/sitemap
- Canonical brand summary: "Reccas is an AI wardrobe manager that helps you decide what to wear, what to buy, what to skip, and what to watch."