VTEX Legacy Search MCP connector
VTEX Legacy Search is VTEX's product discovery and search API for ecommerce storefronts. The VTEX Legacy Search MCP connector allows AI agents to search products by keyword or category, retrieve search facets for filtering, and access product recommendation sets like accessories, similar items, and frequently bought together combinations. It also supports querying brand and category facets, searching product offers, and retrieving behavioral recommendations such as who saw also saw and who bought also bought.
Authentication type
- API Key - Requires a static API key to be configured before the agent can connect to the service.
Uses
Use the VTEX Legacy Search MCP connector to perform the following actions:
- Discover product recommendations based on customer browsing and purchase history
- Filter and sort products by multiple facets to improve storefront search experience
- Retrieve related products including accessories, similar items, and frequently bundled products
- Identify inventory offers across products and SKUs to support pricing strategy
- Enable product discovery through autocomplete suggestions during customer searches
- Access product details and availability by searching product URLs or names
- Analyze brand and category facets to optimize store navigation and merchandising
Example prompts
Use the following example prompts to invoke VTEX Legacy Search MCP connector tools from your AI assistant or Boomi Connect workflow:
Show me all products that customers who bought this item also purchased in VTEX Legacy Search.Find accessories that should be recommended with our bestselling laptop in VTEX Legacy Search.List all available offers for SKU 12345 in VTEX Legacy Search.What are the top autocomplete suggestions when customers search for running shoes in VTEX Legacy Search?Display products similar to this blue winter jacket using VTEX Legacy Search.Retrieve all products in the electronics category with available facets in VTEX Legacy Search.Search for products with price between 50 and 200 dollars, ordered by popularity in VTEX Legacy Search.Show me products that customers who viewed this item also viewed in VTEX Legacy Search.Get all brand and category filters available for home and garden products in VTEX Legacy Search.Find the product details by searching for its URL in VTEX Legacy Search.
VTEX Legacy Search MCP connector tools
The VTEX Legacy Search MCP connector provides the following tools. Each tool maps to a specific action you can invoke from your AI agent or automation.
| Tool | Description |
|---|---|
| getApiCatalogSystemPubFacetsCategory | Retrieves available category filters for narrowing product searches by category. |
| Facetscategory | Filters and displays products based on selected store category facets. |
| ProductSearchAccessories | Returns products that are related accessories to a specified item. |
| ProductSearchShowTogether | Returns products frequently displayed together with a specified item. |
| ProductSearchSimilars | Returns products with similar characteristics to a specified item. |
| ProductSearchSuggestions | Returns suggested products based on search context or user behavior. |
| ProductSearchWhoBoughtAlsoBought | Returns products purchased by customers who bought a specified item. |
| ProductSearchWhoSawAlsoBought | Returns products bought by customers who viewed a specified item. |
| ProductSearchWhoSawAlsoSaw | Returns products viewed by customers who also viewed a specified item. |
| getApiCatalogSystemPubProductsOffers | Retrieves pricing and promotional offers for specified products. |
| getApiCatalogSystemPubProductsOffersSku | Retrieves pricing and promotional offers for specified product variants. |
| ProductSearchFilteredandOrdered | Searches for products with filtering, sorting, and pagination options. |
| Searchbyproducturl | Retrieves product information using its direct product URL. |
| ProductSearch | Searches for products by name, keywords, or other search criteria. |
| AutoComplete | Provides autocomplete suggestions for product searches as users type. |