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.
试试这样问
Magento (Adobe Commerce) 的示例提示
点击任意提示即可复制，然后粘贴到 Claude、ChatGPT、Cursor、Gemini、Copilot 或 OpenClaw 中，在该连接器上运行。
Claude 是 AI，可能会出错。请核对回答。
💡 无需安装? 直接使用 cloud.anythingmcp.com。 登录、点击 Connectors → Magento (Adobe Commerce)、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
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.
前提条件
完整的设置说明已内置在连接器中 (在 store 中选择连接器时可见)。所需环境变量:
MAGENTO_BASE_URL, MAGENTO_ACCESS_TOKEN
步骤 1 — 获取凭证
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)
步骤 2 — 安装 adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
步骤 3 — 在 Gemini 中添加连接器
Gemini CLI 从 ~/.gemini/settings.json (Windows: %APPDATA%\gemini\settings.json) 读取 MCP 服务器。添加:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- 从 AnythingMCP 获取你的 MCP API key。
- 保存文件并重启
gemini。 - 在 Gemini CLI 中运行
/mcp—Magento (Adobe Commerce)应显示为可用。 - Vertex AI Studio: 将
https://cloud.anythingmcp.com/mcp传入请求的tools数组,使用相同的 Bearer 头。
可用工具
| 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 或 2.x 支持 MCP 吗? 支持 — Gemini CLI ≥ 0.4 与 Vertex AI tools API 均接受带 Bearer 头的 MCP httpUrl 连接器。
下一步
这份指南对你有帮助吗?
