How to Use the VTEX Checkout MCP in Google ADK
Run complex e-commerce logic on Google Cloud with Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up VTEX Checkout 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 VTEX Checkout 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="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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about VTEX Checkout MCP in Google ADK
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