No install? Use cloud.anythingmcp.com directly.
Sign in, install the Magento (Adobe Commerce) in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Drive Magento 2 / Adobe Commerce from any AI agent: products, categories, orders, customers, stock. 12 tools, Bearer admin-token auth, per-store base URL.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Magento (Adobe Commerce), pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
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.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
MAGENTO_BASE_URL, MAGENTO_ACCESS_TOKEN
Paso 1 — Obtener credenciales
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)
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" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —Magento (Adobe Commerce)debería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| 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
¿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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