Check if a product feed is ready for AI shopping (ChatGPT, Gemini, AI Mode): score, gaps, fixes.
Connect Remote server
claude mcp add --transport http ai-catalog https://catalog.cresclab.com/api/mcp/
{
"mcpServers": {
"ai-catalog": {
"url": "https://catalog.cresclab.com/api/mcp/"
}
}
}
{
"servers": {
"ai-catalog": {
"type": "http",
"url": "https://catalog.cresclab.com/api/mcp/"
}
}
}
Settings > Connectors > Add custom connector
URL: https://catalog.cresclab.com/api/mcp/
Tools 3 found in our last check
scan_product_feedFetch a public product feed once and score how well AI shopping assistants can understand it (0-100). Returns the biggest gaps (share of products affected), sample shopper questions AI could not answer from the feed, the thinnest products, and a link to fix the gaps. Accepts Goo…
get_feed_fix_guideExplain what a gap from scan_product_feed means, why AI shopping assistants need that data, and how to fix it with evidence the merchant already owns. Call with no argument to get the full checklist.
list_ai_shopping_platformsList the main AI shopping surfaces and how product data reaches each one (e.g. Google Merchant Center for Gemini / AI Mode / Shopping; ChatGPT merchant program). Overview only, not a list of live integrations.
Details
| Endpoint | https://catalog.cresclab.com/api/mcp/ (Streamable HTTP) |
| First published | 7 Oct 2026 |
| Last updated | 7 Oct 2026 |
| Registry name | com.cresclab.catalog/ai-catalog |
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