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How to Use the Magento (Adobe Commerce) MCP in Google ADK

Connect Magento to Google ADK. Feed massive e-commerce catalogs into Gemini's long-context window for enterprise data analysis.

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Google ADK

Connect Magento (Adobe Commerce) MCP to Google ADK

Create your Vinkius account to connect Magento (Adobe Commerce) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Feed the Gemini context window

Gemini thrives on massive datasets, and `mg.search_products` dumps huge chunks of your catalog right into the prompt. This MCP Server handles the pagination automatically. Your Google ADK setup can ingest thousands of SKUs and map them against existing BigQuery tables to spot pricing anomalies. The agent can also use `mg.list_categories` to understand your entire site structure.

Analyze orders with Google ADK

Stop exporting CSVs when your agent can run `mg.search_orders` to pull recent transactions. It loops through `mg.get_order` to inspect individual line items and shipping details. It can even grab financial data via `mg.list_invoices`. Since you are running in the Google Cloud ecosystem, you can pipe these results directly into Vertex AI pipelines for predictive modeling.

Check live inventory and config

Enterprise retail moves fast, so your Gemini agent calls `mg.get_stock` to verify live availability. It passes the URL-encoded SKU and gets the exact count instantly. The agent can also pull the underlying setup using `mg.get_store_config`. This gives your AI full visibility into the active storefront rules without requiring backend admin access.

Setup guide

Set up Magento (Adobe Commerce) MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Magento (Adobe Commerce) tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Magento (Adobe Commerce)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Magento (Adobe Commerce) tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Magento (Adobe Commerce). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Magento (Adobe Commerce) MCP in Google ADK

Use the McpToolset class. Pass a StreamableHttpServerParameters object with your endpoint URL, then hand the toolset to your LlmAgent.
Yes. You can pass a tool_names filter when configuring the toolset. This lets you expose mg.get_product while hiding sensitive tools like mg.get_customer.
It handles latency well. The SDK supports asynchronous HTTP transports. If mg.search_products takes a moment to paginate through a massive enterprise database, the agent waits properly.
The agent uses mg.search_customers to find the account. Once it has the internal string ID, it calls mg.get_customer to pull the full profile.
Yes. The connection is entirely zero-trust. Vinkius runs the MCP Server in an ephemeral sandbox. Your invoice records and order details route directly to your Google Cloud environment and are never cached on our infrastructure.

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