How to Use the Commerce Layer MCP in Google ADK

Q: How do I filter tools for Commerce Layer in Google ADK?

You can use the toolnames filter when initializing the McpToolset. This restricts the agent to only the specific data points you want it to access.

Connect Commerce Layer to Google ADK to power your enterprise agents with deep store insights and massive context windows.

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Connect Commerce Layer MCP to Google ADK

Create your Vinkius account to connect Commerce Layer 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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Setup Commerce Layer with Google ADK

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Deep store reasoning with Google ADK

Your Gemini-powered agent uses `list_skus` and `list_prices` to compare product data against your internal cloud records. It holds the full catalog in memory to answer complex questions about your inventory. This setup bridges your store data with Google Cloud infrastructure. You'll find it handles large datasets easily, letting the agent cross-reference orders with your existing BigQuery tables.

Sync shipments and customer data

The agent invokes `list_customers` to identify high-value accounts. It then checks their status using `list_shipments` to report back on delivery timelines. Everything happens within the Google ADK execution flow. You aren't bouncing between tabs, as the agent maintains context across your entire commerce operation.

Streamline order lookups on Google ADK

Query specific orders using `get_order` to pull exact line items and status updates. The agent retrieves this data instantly, providing a clear picture of your store's performance. Your agent acts as a direct interface to the API. It removes the latency of traditional manual lookups, making your workflow significantly faster.

Setup guide

Set up Commerce Layer 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

Install Google ADK

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

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

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 Commerce Layer 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="Commerce Layer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Commerce Layer tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Commerce Layer. 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 Commerce Layer MCP in Google ADK

Yes, the server provides the raw product and order data that fits right into Gemini's large context window. Your agent can reason over thousands of SKUs at once.

You can use the tool_names filter when initializing the McpToolset. This restricts the agent to only the specific data points you want it to access.

It is built on the standard MCP protocol, which remains stable and predictable. Your agent will receive consistent data formats for every request.

We treat your order and customer information as transient traffic. The server acts as a pass-through, and no sensitive data is cached or stored by Vinkius.

Absolutely, the HTTP transport works perfectly in containerized environments. Just pass the Vinkius endpoint, and your cloud agent handles the rest.

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