# Estroni Storefront

> Use this tool when you need to access product catalog data for the Estroni Australian activewear brand, enabling AI agents to search products, retrieve product information, and list collections without requiring authentication. It solves problems related to product data retrieval and provides outputs such as product details, variants, and store policies. Ideal for use cases where AI agents require access to Estroni's product catalog data for tasks such as inventory management or customer service.

Canonical page: https://skillsregistry.net/skills/estroni-storefront  
JSON: https://api.skillsregistry.net/v1/skills/estroni-storefront

## Description

A TypeScript MCP server for the Estroni Australian activewear brand that enables AI agents to read product catalog data. Provides four tools for searching products, retrieving detailed product and variant information, listing collections, and surfacing store policies. Deployed on Cloudflare Workers without requiring authentication.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

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

REST: `GET https://api.skillsregistry.net/v1/skills/estroni-storefront` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/estroni-storefront/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