Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Shopware 6 Store API in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
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.
Frag einfach
Beispiel-Prompts für Shopware 6 Store API
Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Konnektor laufen lassen.
Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.
💡 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" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Shopware 6 Store APIsollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
shopware_search_products | Search products in the sales channel |
shopware_get_product | Retrieve a single product by id or product number, including description, pricing tiers, cross-sells, properties, media, and associations |
shopware_search_categories | List or search categories in the storefront category tree |
shopware_get_category | Retrieve a category and optionally its products by category id |
shopware_search_suggest | Shopware search suggest — returns product suggestions for as-you-type autocomplete |
shopware_get_cross_sells | Retrieve 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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