Magento 2 Agentic Commerce - Get Found by AI
Search engines as we know them are being displaced, slowly but steadily, by AI agents that simply answer the question for you.
The same shift is reaching shopping: more and more people let AI find and choose products on their behalf. The paradigm has not flipped yet - but the direction is set, and the only real question is how long it will take.
Magento 2 Agentic Commerce keeps your store in step with it: as agents, clients, and protocols change, your catalogue stays discoverable and readable.
With this extension, you can:
- Be discoverable by AI assistants like Claude and ChatGPT
- Let assistants search your catalogue and recommend your products in conversation
- Speak the open agentic-commerce standards - UCP, MCP, WebMCP, and OpenAI ACP
- Publish llms.txt and other agent discovery files automatically
- Pass Google's agent-readiness check in PageSpeed Insights
AI Is Reshaping Industries - Now It's Ecommerce's Turn
Shoppers ask AI, not search boxes
A growing number of customers ask an assistant to find, compare, and recommend products - then buy what it surfaces.
AI recommends what it can find and read
An AI agent can only recommend products it is able to read - so your catalogue has to be in a form it understands.
If AI can't read your store, it's invisible
If assistants can't read your catalogue, your products simply don't appear in their recommendations.
Magento 2 Agentic Commerce brings together all of today's agentic-commerce standards in a single extension - everything AI agents need to search your catalogue, compare products, and recommend them to your customers. It runs on open, industry-backed protocols. You set your product data up once, and you stay the merchant: your customer relationship, pricing, and store rules remain yours.
What benefits do you get?
Works Today with Claude and ChatGPT
This is not just a promise for the future. Connect your store to an AI assistant like Claude or ChatGPT today, and it will browse your catalogue, compare products, and recommend them to shoppers - all in a normal conversation.
The assistant replies with your real products - names, prices, and links - so the shopper finds what they need without ever leaving the chat. Letting your customers' own assistants find you automatically is the next step, as more people shop with AI.
Set Up Once, Discoverable Everywhere Agents Look
Your store automatically publishes everything an AI shopping agent needs to find it: a Universal Commerce Protocol (UCP) merchant profile at /.well-known/ucp that tells agents what your store supports, plus agent instructions in llms.txt and agents.md.
UCP is an open, industry-backed standard for how AI agents discover and transact with merchants - supported by major commerce, payment, and AI companies including Amazon, Mastercard, Meta, Microsoft, Stripe, Visa, Walmart, and Google. By speaking it, your store is ready for the next wave of AI shopping agents the moment they arrive, with no extra configuration.
You Stay the Merchant
Being present in AI conversations does not mean giving up control. Agents read and recommend your catalogue; you keep everything else - your data, your pricing, your store rules, and your customer relationship. Nothing about your store changes except that it can now be used by the assistants your customers already rely on.
And there is more to come: the path from discovery to in-conversation checkout is on the roadmap, so the channel you open today only grows more valuable.
How Magento 2 Agentic Commerce Works
Your catalogue is exposed to agents once, drawing directly on the products and search you already manage in Magento. Four protocol adapters sit in front of it, so every AI client sees the same products and behaves the same way.
UCP
The open Universal Commerce Protocol. Lets any UCP agent discover your store with no pre-registration. This is our main focus.
Generic MCP
A storefront Model Context Protocol server exposing the same catalogue tools, so clients like Claude and ChatGPT can connect to your store directly.
OpenAI ACP
The product-feed / catalogue side of OpenAI's Agentic Commerce Protocol, to reach shoppers using ChatGPT.
WebMCP
In-browser MCP. Your storefront exposes the same catalogue tools right on the page, so an AI agent working in the shopper's own browser can use your store directly - no separate connection to set up. It is also what Google's PageSpeed Insights now checks for in its Agentic Browsing audit.
Each protocol can be turned on or off separately from the Magento admin, so you can start with just UCP and add the rest when you need them.
Everything AI Needs, Published Automatically
Once installed, your store serves a complete agent-facing surface automatically:
llms.txt - agent instructions
Plain-language guidance that tells AI agents your store is agent-ready and how to read it. Also served at /agents.md.
UCP merchant profile
/.well-known/ucp - supported versions, capabilities, and signing keys an agent reads first.
Agent-discovery sitemap
A dedicated sitemap linked from your main sitemap.xml, plus an agent block in robots.txt.
Public JSON read API
Products, single product, category products, and search at /agent/*.json - served by the module itself, no authentication required.
Want to get cited in AI search answers (ChatGPT, Perplexity, Google AI Overviews) through rich structured data? That is the job of our Advanced SEO Suite.
Pass Google's Agent-Readiness Check
Agent readiness is now something Google measures. PageSpeed Insights added an Agentic Browsing category (Lighthouse 13.3, May 2026) that grades how ready a page is for AI agents - and among its signals are an llms.txt file at the domain root and WebMCP tools registered on the page.
Magento 2 Agentic Commerce publishes llms.txt and registers WebMCP tools automatically, so your store passes the agentic-commerce checks right after installation - run your storefront through PageSpeed Insights and see for yourself. The category is still marked experimental and the remaining checks (accessibility tree, layout stability) depend on your theme, but the agentic surface itself is covered out of the box.
Be where buying decisions now happen.
Make your catalogue discoverable by the assistants your customers already use. Pairs naturally with AI Agent Connector (MCP) for Magento 2 - shopper-facing discovery and admin-side AI in one stack.
Save time by starting your support request online and we'll connect you to an expert.
What is agentic commerce, and why now?
Agentic commerce is shopping through AI assistants - shoppers ask an assistant like Claude or ChatGPT to find, compare, and recommend products instead of browsing websites themselves. Why now? In early summer 2026, Shopify turned agentic commerce on across all of its stores, hundreds of thousands of them, because the shift had become impossible to ignore. Mirasvit is the first to bring the same capability to Magento, so your store can be ready now too.
Can Claude or ChatGPT really do this today, or is it just hype?
It works today. Connect your store to an AI assistant like Claude or ChatGPT and it will search your catalogue and reply with your real products - names, prices, and links. It works now because your store speaks the same standard these assistants already use, so you are not waiting for some future version.
Can shoppers actually buy through AI, or only find products?
Today, AI assistants find, compare, and recommend your products and send the shopper to your store to complete the purchase - so you still capture the sale and own the checkout. Buying directly inside the conversation is on the roadmap and will build on the same setup.
Do my shoppers need a special app or AI agent?
No. Your store exposes its catalogue over open protocols, so any compatible AI assistant can read it. There is nothing your customers need to install, and agents need no pre-registration.
How do I check that my store is agent-ready?
Run your storefront through Google PageSpeed Insights and open the Agentic Browsing category (added in Lighthouse 13.3) - it checks for llms.txt and WebMCP tools, and with this extension both are published automatically. There is also a built-in test: go to Marketing → Agentic Commerce → Agent Activity and click "Test with an agent" to watch a real agent search your catalogue, fetch a product, and build a cart step by step.
Is this based on real open standards, and how does it relate to your AI Agent Connector (MCP)?
Agentic commerce is still taking shape, so the boundaries between the emerging standards are not fixed yet. Rather than bet on one, we implemented everything that is already more or less standardized - UCP (Universal Commerce Protocol), generic MCP, WebMCP, and OpenAI ACP - so your store is ready whichever way the market settles. These are open, industry-backed standards (UCP alone is backed by Amazon, Mastercard, Meta, Microsoft, Stripe, Visa, Walmart, and Google), not a proprietary format, so there is no lock-in. The same MCP standard also powers our admin-facing AI Agent Connector (MCP), but that is a separate, operator-side product, while this one is shopper-facing.
agentic_commerce/surfaces/sitemap_robots_enabled has been replaced by robots_agent_block_enabled and agentic_sitemap_enabled. Both default to Yes, so a fresh install behaves as before; but a store that had explicitly turned the old combined toggle off will have both surfaces switched back on after upgrading — re-check this setting if you had disabled it.search_catalog and lookup_catalog) previously ran one product load plus several follow-up queries for every result, so a single search could fire hundreds or thousands of queries. It now loads a whole page of results with a small, fixed set of batched queries, dramatically cutting the query count on catalogue searches.app/etc/env.php config overrides. ⚠️ This adds an is_agentic column and a supporting index to the quote table (applied on setup:upgrade)./llms.txt and /agents.md instruction files could serve the first store's content (its name, base URLs, categories, and language) to every other store view for up to an hour after a cache flush. Each store view now gets its own correctly cached content.sitemap.xml had the store base URL prepended twice, producing a broken <loc>. The link is now generated correctly.<style> blocks) and JavaScript (<script> blocks) leaking into the rendered description output. When a block or widget is built with Page Builder, the rendered HTML includes inline <style> tags with scoped CSS selectors. These blocks and their contents are now stripped from the description before it is returned, so AI agents do not receive raw CSS or JS as part of the product text.{{block ...}}, {{widget ...}}) appearing as raw template code in the JSON API (/agent/products/{url_key}.json) and MCP tool responses (get_product, search_catalog, lookup_catalog). Descriptions are now passed through Magento's CMS template filter before being serialised, so AI agents receive the rendered HTML content instead of the directive markup.Blog
Andriy Kovalenko 
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You can customize Magento UCP integration according to your needs and requirements.
The Module is easy to install and upgrade, just follow our step-by-step user guide. Additionally, the extension is ready to use with the Hyvä theme.
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