Layers

Layers MCP gives AI agents direct access to your Layers workspace, allowing them to configure, analyze, and optimize your Shopify search and merchandising experience without relying on fragile browser automation.

Agents can create and update search rules, merchandising campaigns, sort orders, collections, recommendations, ranking models, filters, redirects, synonyms, and other search configuration through a structured API. Changes happen in live collaborative edit sessions, so you can watch an agent work in real time, review proposed changes, test them, and publish only when you're ready.

Beyond configuration, Layers MCP provides access to search analytics and performance data so agents can identify opportunities, investigate issues, explain ranking decisions, and recommend improvements based on shopper behavior.

Common use cases include:

Audit and improve search relevance Create merchandising campaigns for launches, promotions, and seasonal events Optimize collection sorting and ranking strategies Analyze zero-result and low-converting searches Build recommendation experiences Test configuration changes before publishing Monitor search quality and suggest ongoing improvements Automate repetitive merchandising workflows

Layers MCP is designed for both built-in AI assistants and bring-your-own-agent workflows, making it possible to integrate Claude, OpenAI, or custom agents directly into your merchandising operations.

Whether you're managing a single storefront or a large Shopify Plus catalog, Layers MCP enables AI agents to safely collaborate with your team while keeping every change reviewable, testable, and under your control.