Built by a Shopify dev who lived the problem.
I'm Muhammad Tahir. I spent the last few years building high-performance Shopify storefronts for brands across Toronto, London, and the US. Now I'm building the tooling that makes those same stores readable by AI agents.
For the last few years I've been a Shopify theme & performance developer. I've shipped Liquid 2.0 storefronts, optimized Core Web Vitals on stores doing real GMV, and rewired mobile checkout flows that lifted conversion by double-digit percent. Most recently with Muscled Inc. in Toronto.
Working inside dozens of Shopify codebases, the same pattern kept showing up: the storefront was beautiful, but the data behind it was a mess. Marketing-heavy descriptions. Empty metafields. HTML soup in product bodies.
For human shoppers it didn't matter — they had eyes and a browser. For the new wave of agentic shoppers (ChatGPT shopping mode, Claude with tools, Perplexity commerce) it was a wall. AI agents would skip the store entirely and recommend a competitor with cleaner data — even when the original brand had the better product.
That gap is what Agentic Catalog MCPcloses. It audits a merchant's catalog the way an AI agent would, fixes it with AI, and exposes the cleaned product data through a Model Context Protocol endpoint that any modern AI shopping assistant can plug into.
I'm a one-person team for now. That means when you sign up, I'm the one who responds to your first support email. If something is broken, you can reach me directly — that's a benefit, not a bug.
What this is built on
The same tools I use day-to-day on production Shopify stores, plus the modern AI-agent stack.
Direct line, not a support queue
Question about your store? Edge case I haven't thought of? Want a custom integration? Reach out. I read everything.
Stop being invisible to AI shoppers
Free 30-second scan, no signup. See exactly how AI agents experience your store.