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Cómo conectar Shopware 6 Store API a Gemini — via MCP

Query a Shopware 6 storefront programmatically — product catalog, categories, cross-sells, landing pages, and search. Covers the public-facing Store API, which is how the Shopware storefront itself talks to the backend.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

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Shopware 6 Store API

MCP connector

Shopware 6 Store API

Query a Shopware 6 storefront programmatically — product catalog, categories, cross-sells, landing pages, and search. Covers the public-facing Store API, which is how the Shopware storefront itself talks to the backend.

Tools

6

Region

DE

Category

E-commerce

Authentication

API Key

Required env vars

SHOPWARE_URLSHOPWARE_ACCESS_KEY
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the Shopware 6 Store API in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

TL;DR

Query a Shopware 6 storefront programmatically — product catalog, categories, cross-sells, landing pages, and search. Covers the public-facing Store API, which is how the Shopware storefront itself talks to the backend.

💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Shopware 6 Store API, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin git clone, sin servidor local.

Shopware 6 Store API + Gemini

Query a Shopware 6 storefront programmatically — product catalog, categories, cross-sells, landing pages, and search. Covers the public-facing Store API, which is how the Shopware storefront itself talks to the backend.

Requisitos previos

Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:

SHOPWARE_URL, SHOPWARE_ACCESS_KEY

Paso 1 — Obtener credenciales

Instance URL: every Shopware install has its own URL. Paste it into SHOPWARE_URL when importing — e.g. https://shop.koch-freiburg.de. Do NOT add /store-api; the adapter handles that.

Access key: the Store API authenticates with a single header sw-access-key. Find it in the Shopware admin under Settings → System → Integrations → 'Access key for sales channels', or per-sales-channel under Sales Channels → 'API access → Access key'. Set it as SHOPWARE_ACCESS_KEY at import time.

…(continued in the in-app connector instructions)

Paso 2 — Instalar el adapter

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Paso 3 — Añadir el conector en Gemini

Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}
  1. Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
  2. Guarda el archivo y reinicia gemini.
  3. Ejecuta /mcp en la Gemini CLI — Shopware 6 Store API debería aparecer como disponible.
  4. Vertex AI Studio: pasa https://cloud.anythingmcp.com/mcp al array tools de tu petición con el mismo header Bearer.

Herramientas disponibles

ToolWhat it does
shopware_search_productsSearch products in the sales channel
shopware_get_productRetrieve a single product by id or product number, including description, pricing tiers, cross-sells, properties, media, and associations
shopware_search_categoriesList or search categories in the storefront category tree
shopware_get_categoryRetrieve a category and optionally its products by category id
shopware_search_suggestShopware search suggest — returns product suggestions for as-you-type autocomplete
shopware_get_cross_sellsRetrieve the cross-sell product streams configured for a product (e

FAQ

¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.

Siguientes pasos

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