Categories › Business & Finance › E-commerce & marketplaces
AI-shopping feed checks (RO). Google→ChatGPT: link→url, image_link→image_url, in_stock, seller_name.
Remote server: your requests and data go to mcp.shopaiready.com. Claude Code: claude mcp add --transport http shopaiready https://mcp.shopaiready.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
check_store_ai_readiness — Audits a public store homepage (+ robots.txt, sitemap, one sampled product page) and returns a heuristic 0–100 AI-shopping readiness score waudit_product_page — Audits one public product page: schema.org Product/Offer (JSON-LD), price/currency/availability coherence with visible text and og:price, GTvalidate_feed_for_chatgpt — Fetches a public product feed (XML RSS/Atom, CSV, TSV, JSONL) and checks it against the OpenAI Commerce products feed spec (required: item_ivalidate_feed_for_google — Fetches a public product feed and checks Google Merchant Center required/recommended attributes (id, title, description, link, image_link, adraft_supplemental_feed — Turns structured issues (the `issues` array returned by validate_feed_for_google / validate_feed_for_chatgpt / audit_product_page) into CSV Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.