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.

When you explicitly ask, an MCP-connected agent can now publish a merchandising rule or sort order change straight to your storefront, skipping the review step entirely.

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.

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

AI agents can now ask for your approval before a merchandising rule change goes live — review the request from your dashboard inbox and approve or reject it before anything publishes.

Watch AI agents apply facet and merchandising changes step by step, each move captioned with the reason behind it.

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

See AI agents at work in real time — including the AI Sort & Group action — right alongside your team.

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

Agents can submit search quality and merchandising feedback directly into Layers.

Connect AI assistants to Layers through Storefront and Admin MCP servers.