How to Use the commercetools MCP in Google ADK

Q: Can I use Google ADK to filter commercetools tools?

You pass a toolnames filter to the toolset definition. This prevents the agent from accessing sensitive admin tools if they aren't needed.

Connect the commercetools MCP Server to your Google ADK agent to perform actions on your e-commerce data within the Gemini ecosystem.

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Connect commercetools MCP to Google ADK

Create your Vinkius account to connect commercetools 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 commercetools with Google ADK

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Query commercetools data using Google ADK

The `list_orders` and `list_categories` tools expose your shop data to the Gemini model. Your agent can read these lists to understand current store performance. Because the ADK supports long-context windows, you can feed massive order histories into the agent. It parses the platform data without hitting token limits.

Fetch specific orders with Google ADK

Use `search_orders_by_number` to grab exact records for your support agents. It works natively within the toolset passed to your LlmAgent. This integration allows your Google Cloud-based agents to act on real-world transaction data. You don't need to build extra infrastructure for the connection.

Check project settings via Google ADK

Invoke `get_project_settings` to verify your environment configuration. It ensures your agent is operating on the correct store instance. Restricting access is easy by using the tool_names filter. You keep the agent focused only on the tools required for its specific job.

Setup guide

Set up commercetools 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 commercetools 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="commercetools_agent",
    model="gemini-2.0-flash",
    instruction="You have access to commercetools 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 commercetools. 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 commercetools MCP in Google ADK

It uses the McpToolset class to bridge the connection reliably. You can switch between Stdio and HTTP transports based on your deployment needs.

You pass a tool_names filter to the toolset definition. This prevents the agent from accessing sensitive admin tools if they aren't needed.

The server runs as an ephemeral process in the Vinkius sandbox. It keeps the connection snappy for your Gemini-powered agents.

Absolutely. You can combine BigQuery tools and this MCP Server in the same LlmAgent. It allows for cross-reference analytics between your warehouse and your store.

Your order information is processed in an isolated memory space. We use an ephemeral, zero-trust architecture that wipes the connection state after each session.

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