What's newin Layers

Two new MCP tools let your AI assistant manage store settings and custom banner types, with the same validation as the dashboard.

A new MCP tool lets your AI assistant save LayersQL queries as reports and assemble them into dashboards, complete with chart config and a link back into Layers.

A new MCP tool lets AI agents discover every field a store's conditions can target, with coverage stats and real sample values.

Content search results now include a direct storefront URL and the article’s blog title, so you don’t have to build links yourself.

Layers now detects storefront facets whose values are identifier-like, such as SKUs or SEO titles, and turns them off automatically, with a dashboard status and MCP diagnostics reason explaining why.

Keep an MCP connection in sync with your account by automatically granting it access to stores you gain access to later.

Request the new `collection_titles` attribute on Search, Browse, and Block responses to get every collection a product belongs to, with no follow-up lookup required.

Pass your grid layout to the Browse API and Layers reserves space for inline banners automatically, so every page fills its rows correctly.

A new MCP tool shows AI agents exactly what content reached a product’s search document, plus a guided workflow for classifying attributes.

Control the imagesizes attribute Layers sends in early hints image preloads.

AI assistants connected through MCP can now co-edit merchandising rules and sort orders safely, with live presence and conflict-checked patches.

Discounted variants now expose the pre-discount price as compare_at_price across search, browse, and price range responses.