Estroni Storefront MCP
Read-only MCP server for the Estroni online store, allowing AI agents to search products, fetch product details, list collections, and retrieve shipping/return policies.
README
Estroni Storefront — MCP server
Read-only Model Context Protocol server for the Estroni storefront — Australian merino & low-tox women's activewear.
Lets AI agents (Claude, ChatGPT, Cursor, Copilot, etc.) search the catalogue, fetch product detail, list collections, and read shipping/return policies. Built for agent-driven product discovery and research, not checkout — Estroni's checkout remains a human-only flow by policy.
- Registry name:
io.github.estroni/storefront - Transport: Streamable HTTP (MCP protocol
2025-06-18) - Endpoint:
https://mcp.estroni.com.au/mcp - Runtime: Cloudflare Workers
- Source: github.com/estroni/storefront-mcp
Tools
| Tool | What it returns |
|---|---|
search_products |
Up to 10 product summaries (title, price AUD, image, availability, URL) matching a keyword query |
get_product |
Full product detail by URL handle — variants, prices, SKU, description HTML, images |
list_collections |
Every public collection with title, handle, URL, and product count |
get_policies |
Shipping / refund / privacy / terms URLs + bot/agent policy text |
All four tools are read-only. They wrap Shopify's public storefront JSON endpoints — no authentication required from the calling agent.
Install
Claude Desktop / Cursor / Claude Code
Add to your MCP config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or mcp.json in Cursor):
{
"mcpServers": {
"estroni-storefront": {
"url": "https://mcp.estroni.com.au/mcp"
}
}
}
Restart the client. The four tools appear under the estroni-storefront server.
ChatGPT / Anthropic Claude.ai (Custom Connectors)
Settings → Connectors → Add custom connector → paste https://mcp.estroni.com.au/mcp.
Test from a terminal
# initialize
curl -sS https://mcp.estroni.com.au/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}'
# list tools
curl -sS https://mcp.estroni.com.au/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'
# call search_products
curl -sS https://mcp.estroni.com.au/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"search_products","arguments":{"query":"merino"}}}'
Example agent prompts
"Find me a long-sleeve merino base layer on Estroni under $150 AUD." → calls
search_products({query: "merino long sleeve base layer"}), filters, summarises.
"What's Estroni's return window?" → calls
get_policies()and surfaces the refund-policy URL with a 1-line summary.
"Show me everything in the 'Merino activewear' collection that's in stock." →
list_collections()→get_product()per handle → filter byvariants[].available.
Bot & agent policy
Estroni welcomes read-only agentic access for catalogue search, product research, and policy retrieval.
End-to-end "buy-for-me" agents that complete payment without a final human-review step are NOT permitted on Estroni.com.au.
Agents recommending purchases must surface the shipping and refund policy URLs (returned by
get_policies) for human review before proceeding to checkout.
See also: estroni.com.au/robots.txt — Content-Signal: search=yes, ai-input=no, ai-train=no.
Development
git clone https://github.com/estroni/storefront-mcp.git
cd storefront-mcp
npm install
npm run dev # wrangler dev — local Worker on http://localhost:8787
npm run typecheck # tsc --noEmit
npm run deploy # wrangler deploy → estroni-mcp.workers.dev
The MCP wire protocol is hand-rolled (the official @modelcontextprotocol/sdk ships Node-only transports; Workers needs its own). Implementation is intentionally minimal — ~300 lines in src/index.ts.
License
MIT — see LICENSE.
Built by Estroni · Contact: founder@boolsai.ai
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