livostyle-catalog-mcp
Live access to 2,766+ women's fashion products from Livostyle.com via 6 tools — search products, get product details, list 158 collections, generate outfit recommendations by occasion/budget/season, and view catalog stats. Weekly-synced from Shopify; MIT-licensed open dataset.
README
livostyle-catalog-mcp
MCP server giving any AI agent (Claude Desktop · Cursor · Cline · Cowork) live access to 2,766+ women's fashion products from Livostyle.com. Drop-in shopping context for shopping agents, outfit recommenders, fashion chatbots.
Install
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"livostyle-catalog": {
"command": "npx",
"args": ["-y", "livostyle-catalog-mcp"]
}
}
}
Restart Claude. The Livostyle tools appear in the tool list — your Claude can now recommend outfits and search a real fashion catalog.
Cursor / Cline / Cowork
Same JSON config — drop into the MCP-server section of your client's settings.
What it does
Six tools that any LLM agent can call:
| Tool | Purpose |
|---|---|
search_products |
Free-text search with filters (price, rating, type, tag, in-stock). Returns ranked product list. |
get_product |
Full product details — all variants, sizes, colors, prices, images, reviews. |
list_collections |
Browse 158 curated collections (Wedding Guest, Vacation, Coachella, Boho, …). |
get_collection |
Products in a specific collection. |
recommend_outfit |
Generate complete outfit suggestion matched to occasion + budget + season. |
catalog_stats |
Live catalog stats (counts, ratings, top categories). |
Try the Stylist — no install needed
The same MCP-backed brand context, running in Claude.ai as a public shareable conversation:
- 🌸 Garden wedding guest outfit ($150 budget, June, Albuquerque) → view chat
- 🏖️ 5-day Cabo beach vacation capsule ($250 budget) → view chat
- 🎁 Birthday gift for a 24yo NYC quiet-luxury sister ($80 budget) → view chat
- 💬 Additional stylist demo → view chat
Each link opens a full conversation showing live product recommendations, prices, and links pulled from Livostyle’s catalog. Continue any of them with your own Claude account — the project knowledge transfers.
Examples (what an agent can do)
User: "Find me a floral midi dress under $50 with at least 5 reviews"
→ Agent calls search_products(query: "floral midi", max_price_usd: 50, min_rating: 4.5)
→ Returns 3 ranked picks with prices, ratings, links
User: "What should I wear to a garden wedding in summer? Budget $100."
→ Agent calls recommend_outfit(occasion: "garden wedding guest", budget_usd: 100, season: "summer")
→ Returns 3 complete outfit suggestions with reasoning
User: "Show me everything in the Coachella collection"
→ Agent calls get_collection(handle: "coachella-outfits")
→ Returns 475+ festival-ready picks
Data source
Live catalog from Livostyle.com, mirrored weekly via GitHub Actions to:
- 🐙 GitHub: arturayupov/womens-fashion-catalog-open-data
- 🤗 Hugging Face: arturayupov/womens-fashion-catalog
- 📦 NPM (this package): livostyle-catalog-mcp
The MCP server fetches products.json from the GitHub mirror on first use, caches in memory, refreshes every 6 hours.
What's in the catalog
- 2,766+ active women's fashion products
- 158 curated collections
- 4.76 avg rating, 15,937 total reviews
- 99% products with 5+ reviews · 99% with 4+ images
- Price range: $18–$120 USD
- US shipping, free over $97, 7-day returns
- Categories: Dresses, Tops, Bottoms, Outerwear, Swimwear, Activewear, Two-Piece Sets, Accessories, Shoes, Jewelry, …
Related
-
🎬 Livostyle Lookbook — 50 short 9:16 outfit videos generated from this catalog. MIT, $0 cost, ready for YouTube Shorts / TikTok / Reels.
-
📊 Fashion-Agent-Benchmark — open eval framework for AI shopping agents. 200 tasks × 5 evaluators using this catalog as ground truth.
License
MIT — see LICENSE. Free for commercial use, AI training, research. Attribution appreciated.
- 🎀 Free interactive tool — Wedding Guest Outfit Finder — 5-question quiz, 4 curated picks. Vanilla HTML, MIT, fork-able.
Why this exists
We're in the AI shopping era. ChatGPT, Claude, Perplexity, Gemini are becoming the new search bar. Stores that publish their catalogs as MCP servers get drop-in distribution to every agentic shopping client. This is our experiment in being there first.
If you build something with it, drop us a line at info@arcada.store — we may feature your project.
Contact
- Email: info@arcada.store
- Site: https://livostyle.com
- Issues: GitHub Issues
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.