AgentReadyAI visibility appCaffeine & CommerceShopify agency
AgentReady

Agent integrations

Real interfaces for AI agents, not just markup

Markup helps agents read your pages. Interfaces let them work with your store: query the catalog live, pull a structured feed, and read clean product documents. AgentReady ships the agent-facing plumbing and then proves agents are using it.

See it, don't take our word

An agent asks. Your store answers.

The MCP endpoint lets an AI agent query your catalog live instead of scraping it. A search call returns structured product data: price, availability, ratings, subscription options.

MCP endpoint · Live
{ "method": "tools/call",
"name": "search_products",
"query": "bodysuit" }
 
→ { "name": "Scrunch Bodysuit",
"price": "70.00 USD",
"availability": "InStock",
"rating": 4.7,
"subscription":
"$59.50 every 30 days" }
{ "method": "tools/call",
"name": "search_products",
"query": "bodysuit" }
 
→ { "name": "Scrunch Bodysuit",
"price": "70.00 USD",
"availability": "InStock",
"rating": 4.7,
"subscription":
"$59.50 every 30 days" }

A live Model Context Protocol endpoint on your domain, with server-verified analytics showing which agents actually call it.

An MCP endpoint for your store

The Model Context Protocol is how AI tools like Claude and agent frameworks connect to live data sources. AgentReady gives your store its own MCP endpoint with tools for listing and searching products, fetching full product detail including subscription options, and reading your policies and brand info. Paste one URL into an MCP client and your store becomes a queryable source.

A feed for agentic commerce

For programs that ingest product feeds, AgentReady serves a spec-conformant agentic-commerce feed of your catalog: stable IDs, variant-level prices and availability, media, and identifiers, refreshed continuously and capped to your plan's catalog size.

Proof agents are visiting

Every fetch of your agent surfaces is logged server-side, with the requesting agent identified by user agent. The dashboard shows which assistants visit, how often, and what they read, measured on your own infrastructure, not estimated. The first time an AI agent reads your store, you'll know.

Frequently asked questions

What can an MCP client actually do with my store?

List and search products, fetch one product's full detail (price, availability, variants, images, subscription options), and read your policies and brand identity. Read-only by design: agents can research and recommend; checkout stays on your storefront.

Is agent traffic measured with a tracking pixel?

No. AI crawlers don't execute JavaScript, so pixels can't see them. AgentReady logs requests server-side on the surfaces it serves, which is why its numbers are verifiable rather than modeled.

Which agents show up in analytics?

Any bot that fetches your agent surfaces, identified by its published user agent: GPTBot and ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, Bingbot, and the long tail as it emerges.

Do I need to register anywhere for the feed?

The feed serves at a stable, token-protected URL you can paste into partner onboarding flows that ask for one. No registration is required for the MCP endpoint or markdown twins.

Make your store readable to AI agents

Free to install, AI-readable in about ten minutes, with the proof in your dashboard.