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How to Use the VTEX Checkout MCP in Google ADK

Run complex e-commerce logic on Google Cloud with Google ADK.

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Google ADK

Connect VTEX Checkout MCP to Google ADK

Create your Vinkius account to connect VTEX Checkout 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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Simulating Full Checkout Flow

Need to test a whole checkout flow before hitting the live site? You run `simulate_order` for the cart and shipping costs. Then, you follow up with `simulate_payment`. This gives your agent two solid data points: total cost and payment viability.

Updating Customer Addresses

If a user moves or needs to add a secondary residence, the agent handles it. You call `create_address` with all the necessary fields, adding that new location directly to their stored profile data via the MCP Server.

Retrieving Order and Profile Data

Your agent can pull together a full picture of the customer. You use `get_client_profile` for account details, or you call `get_orderform` if you only need to inspect what's currently in a specific shopping cart.

Setup guide

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

The Google ADK lets your agent access the checkout tools as specialized functions. You can use `simulate_order` to test scenarios, letting your agent reason about costs before execution.
Yes, you retrieve account details by calling `get_client_profile`. This gives the agent access to persistent customer records needed for checkout.
You use the `add_coupon` tool. The MCP Server takes the code and figures out if it's valid against the current items in the cart, giving you an immediate discount value.
This MCP Server handles client addresses (`create_address`), core shopping cart contents (`get_orderform`), and payment validation details from `simulate_payment`.
Remember to handle state changes. If the agent simulates an order, it must correctly pass those resulting costs into subsequent steps, like validating payment.

Start using the VTEX Checkout MCP today

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Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for VTEX Checkout. Just plug in your AI agents and start using Vinkius.

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