Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Magento (Adobe Commerce) 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
Drive Magento 2 / Adobe Commerce from any AI agent: products, categories, orders, customers, stock. 12 tools, Bearer admin-token auth, per-store base URL.
Frag einfach
Beispiel-Prompts für Magento (Adobe Commerce)
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 → Magento (Adobe Commerce) klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Magento (Adobe Commerce) + Gemini
Drive Magento 2 / Adobe Commerce from any AI agent: products, categories, orders, customers, stock. 12 tools, Bearer admin-token auth, per-store base URL.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
MAGENTO_BASE_URL, MAGENTO_ACCESS_TOKEN
Schritt 1 — Zugangsdaten holen
magento.com).
Setup:
- As Magento admin → System → Integrations → Add New Integration.
- Name + email, then on the API tab pick scopes: at minimum Catalog (Products + Categories + Stock), Customers, Sales (Orders + Invoices + Shipments).
- Activate the integration → grant access. Magento generates an Access Token (this is the long-lived bearer token).
- Set:
MAGENTO_BASE_URL= your storefront base URL (e.g.https://shop.example.com)MAGENTO_ACCESS_TOKEN= the integration access token- Optionally
MAGENTO_STORE_VIEWif you want a specific store view (default 'default' or use 'all')
Authentication: Authorization: Bearer ${MAGENTO_ACCESS_TOKEN}.
…(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 —Magento (Adobe Commerce)sollte 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 |
|---|---|
magento_search_products | Search products with Magento's search criteria DSL |
magento_get_product | Fetch a single product by SKU |
magento_create_product | Create a product |
magento_update_product | Update a product by SKU (PUT) |
magento_delete_product | Permanently delete a product by SKU |
magento_update_stock | Update inventory stock for a SKU at a source |
magento_list_categories | List the category tree (or below a rootCategoryId) |
magento_search_orders | Search orders |
magento_get_order | Fetch one order by ID with billing/shipping addresses, items[], status history |
magento_cancel_order | Cancel an order (only valid in pending/processing status) |
magento_search_customers | Search customers with the same DSL |
magento_get_customer | Fetch one customer by ID |
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
War dieser Guide hilfreich?
