# fashion-inventory-mcp

> fashion-inventory-mcp — hemantmnl-fashion-inventory-mcp. Use this tool when you need to efficiently search and manage fashion inventory using natural language queries, solving problems such as finding specific products or recommending matching items. It takes in text-based queries and flat file inventory data as inputs, and outputs relevant product information and recommendations. Ideal for use cases like virtual shopping assistants or e-commerce product suggestion systems.

Canonical page: https://skillsregistry.net/skills/hemantmnl-fashion-inventory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hemantmnl-fashion-inventory-mcp

## Description

Enables natural-language shopping queries on a fashion inventory flat file, with tools for searching products and recommending matching items via OpenAI.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f808impkno)
- **Repository:** <https://github.com/hemantmnl/fashion-inventory-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": "hemantmnl-fashion-inventory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hemantmnl-fashion-inventory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hemantmnl-fashion-inventory-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