# livostyle-catalog-mcp

> Use this tool when you need to access a vast catalog of women's fashion products, generate outfit recommendations, or retrieve product details. It solves problems such as product discovery, outfit planning, and catalog management by providing search, filtering, and recommendation functionalities. With weekly-synced data from Shopify and an open dataset, it offers a reliable interface for inputs like occasion, budget, and season, and outputs like product lists and outfit suggestions.

Canonical page: https://skillsregistry.net/skills/arturayupov-livostyle-catalog-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arturayupov-livostyle-catalog-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sbr1d2i9ns)
- **Repository:** <https://github.com/arturayupov/livostyle-catalog-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "arturayupov-livostyle-catalog-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arturayupov-livostyle-catalog-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arturayupov-livostyle-catalog-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
