# FindMine Shopping Stylist

> Use this tool when you need to enhance e-commerce product discovery with AI-powered fashion styling assistance, generating outfit recommendations and finding visually similar items. It solves problems of personalized fashion guidance and product suggestions, providing a user interface for browsing products and accessing style guides. Ideal for use in online shopping platforms, it takes in user preferences and outputs curated fashion recommendations.

Canonical page: https://skillsregistry.net/skills/findmine-shopping-stylist  
JSON: https://api.skillsregistry.net/v1/skills/findmine-shopping-stylist

## Description

FindMine's MCP server connects Claude and other AI assistants to FindMine's product styling API, enabling fashion recommendations and outfit creation. Built with TypeScript and the Model Context Protocol SDK, it provides tools for browsing products, generating outfit recommendations, finding visually similar items, and accessing style guides. The implementation features configurable caching, sample data for development, and customizable style guides, making it ideal for e-commerce platforms wanting to enhance their product discovery with AI-powered fashion styling assistance.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/findmine-shopping-stylist)
- **Repository:** <https://github.com/findmine/findmine-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": "findmine-shopping-stylist"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/findmine-shopping-stylist` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/findmine-shopping-stylist/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