AI Agent2026

Cart Whisperer

AIMCPClaudeStorefront APIConversational Commerce

A conversational AI shopping assistant that browses Shopify catalogs via MCP, understands customer intent, and builds carts — turning natural language into checkout-ready orders.

The Challenge

Product discovery on Shopify stores relies on traditional search and filter UIs that break down when customers don't know exact product names or when catalogs exceed hundreds of products. Customers abandon stores when they can't quickly find what matches their needs.

The Solution

Built a conversational agent using Claude with Model Context Protocol (MCP) tools that gives the AI direct access to a Shopify store's catalog. Customers describe what they want in natural language, and the agent searches, compares, recommends, and adds items to cart.

Design

Code

Result

mcp/tools/search-products.tstypescript
  1export const searchProducts = defineMcpTool({  2  name: 'search_products',  3  description: 'Search the Shopify catalog by query, filters, and price range',  4  parameters: z.object({  5    query: z.string(),  6    productType: z.string().optional(),  7    minPrice: z.number().optional(),  8    maxPrice: z.number().optional(),  9    sortBy: z.enum(['RELEVANCE', 'PRICE', 'BEST_SELLING']).optional(), 10  }), 11  execute: async ({ query, productType, minPrice, maxPrice, sortBy }) => { 12    const filters: string[] = [] 13    if (productType) filters.push(`product_type:${productType}`) 14    if (minPrice) filters.push(`variants.price:>=${minPrice}`) 15    if (maxPrice) filters.push(`variants.price:<=${maxPrice}`) 16 17    const { products } = await storefront.query(SEARCH_QUERY, { 18      variables: { 19        query: [query, ...filters].join(' '), 20        sortKey: sortBy ?? 'RELEVANCE', 21        first: 10, 22      }, 23    }) 24 25    return products.nodes.map(formatProductForAgent) 26  }, 27}) 28

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Tech Stack

Claude APIMCP ServerShopify Storefront APICart Permalink APITypeScriptReactVercel

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