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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Magento (Adobe Commerce) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
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