Lowtoxgear MCP Server Suite
OfficialLowtoxgear — MCP server suite
Two MCP servers for the Lowtoxgear ecosystem. Both live, no-auth, no API key needed — paste a URL into Claude.ai → Settings → Connectors, or call directly via JSON-RPC 2.0 POST.
Server | Connect URL | Tools |
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Both registered under the com.lowtoxgear/* namespace (DNS-verified via lowtoxgear.com) in the Anthropic MCP Registry.
What they do
Lowtoxgear Storefront — shop the catalogue
The Lowtoxgear brand is an Australian low-tox lifestyle e-commerce store spanning four collections:
Certified Activewear — clothing built without PFAS, fluorocarbons, or synthetic finishes
Clean Supplements — Australian-sourced supplement products with third-party testing
GOTS Certified — Global Organic Textile Standard apparel
Low-Tox Home Products — household items audited for clean ingredients
The storefront MCP exposes the Shopify public catalogue with one brand-specific extension: filter_by_certification lets agents query by tags like GOTS, OEKO-TEX, PFAS-free, etc.
Lowtoxgear Scanner — analyse anything by barcode
The Scanner is an independent Australian ingredient scanner for any consumer product. Live at scan.lowtoxgear.com:
21,000+ Australian product pages indexed by barcode (EAN/UPC/JAN)
237 source-cited chemical rules — fragrance allergens, EU-banned additives, EDCs, phthalates, PFAS, formaldehyde releasers, parabens, preservatives, and more
17 condition-specific flag escalations — MCAS, eczema, PCOS, fertility, pregnancy, fibromyalgia, POTS, IBS, Hashimoto's, fragrance sensitivity, autism, ADHD, asthma, autoimmune, endometriosis, lyme, chronic fatigue
Six magnet guides of strict-clean shortlists by condition (eczema-safe personal care, mineral-only sunscreens, pregnancy-safe beauty, clean shampoos, etc.)
No sponsored placement — independent, source-cited
The Scanner MCP is a thin wrapper around the existing scanner backend — it exposes the same data via the MCP JSON-RPC protocol so agents can query it programmatically.
Install (both)
Claude Desktop / Claude Code / Cursor
{
"mcpServers": {
"lowtoxgear-storefront": { "url": "https://mcp.lowtoxgear.com/mcp" },
"lowtoxgear-scanner": { "url": "https://mcp-scan.lowtoxgear.com/mcp" }
}
}ChatGPT / Claude.ai Custom Connectors
Settings → Connectors → Add custom connector → paste either URL.
Test from a terminal
# Scan a barcode
curl -sS https://mcp-scan.lowtoxgear.com/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"scan_barcode","arguments":{"barcode":"9300605000018"}}}'
# Search the storefront
curl -sS https://mcp.lowtoxgear.com/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"search_products","arguments":{"query":"GOTS organic"}}}'Cross-discovery
Both servers reference each other in their initialize and get_* responses:
The Storefront's
get_policiesreturns a pointer to the Scanner (for chemical-safety analysis of items found in the catalogue).The Scanner's
get_resourcesreturns a pointer to the Storefront (for shopping the cleanest-in-class).
This lets agents chain queries naturally: scan a barcode → if flagged, query the storefront for a cleaner alternative.
Architecture
┌──────────────────────────┐
│ AI agent (Claude / etc) │
└────┬───────────────┬─────┘
│ JSON-RPC 2.0 │ JSON-RPC 2.0
▼ ▼
mcp.lowtoxgear.com/mcp mcp-scan.lowtoxgear.com/mcp
(storefront MCP Worker) (scanner MCP Worker)
│ │
│ Shopify │ scan.lowtoxgear.com/api/*
│ public JSON │ (existing scanner web app)
▼ ▼
lowtoxgear.com scan.lowtoxgear.com
(Shopify store) (D1: 21k AU products,
237 chemical rules)Both MCP Workers run on Cloudflare Workers with their own custom domains. The Scanner backend (D1 database, chemical-rule engine, OCR ingestion) lives in a separate Worker we don't modify.
Publishing to the MCP Registry
See PUBLISHING.md — one DNS verification on lowtoxgear.com unlocks both manifests under com.lowtoxgear/*.
License
MIT — see LICENSE.
Built by Lowtoxgear · Source for scanner data is independent + source-cited · Contact: founder@boolsai.ai
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