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Shopware 6 Store API mit Gemini verbinden — über 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

No credit card · 7-day trial · Self-host alternative available

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.

💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Shopware 6 Store API klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein git clone, kein lokaler Server.

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.

Voraussetzungen

Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:

SHOPWARE_URL, SHOPWARE_ACCESS_KEY

Schritt 1 — Zugangsdaten holen

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)

Schritt 2 — Adapter installieren

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

Schritt 3 — Connector in Gemini hinzufügen

Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}
  1. Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
  2. Speichern und gemini neu starten.
  3. /mcp in Gemini CLI ausführen — Shopware 6 Store API sollte als verfügbar gelistet sein.
  4. Vertex AI Studio: https://cloud.anythingmcp.com/mcp im tools-Array der Anfrage mit demselben Bearer-Header übergeben.

Verfügbare Tools

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

Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.

Nächste Schritte

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