How to Use the Checkout.com MCP in Google ADK

Q: How do I configure the Checkout.com MCP Server in Google ADK?

You initialize an McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass that toolset directly to the tools array in your LlmAgent setup.

Q: Can Google ADK restrict which Checkout.com tools the agent sees?

Yes. You pass a toolnames filter to the toolset constructor. If you only want the agent to read data, you restrict it to listcheckoutpayments and exclude the refund actions.

Q: How do I handle Checkout.com refunds through Google ADK?

The agent formats a request for refundcheckoutpayment based on your prompt. You map the output directly into your Google Cloud logging pipeline for compliance.

Connect Checkout.com to Google ADK. Build enterprise agents that cross-reference Gemini context with live payment data.

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Connect Checkout.com MCP to Google ADK

Create your Vinkius account to connect Checkout.com 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 Checkout.com with Google ADK

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Query Checkout.com from Google ADK

Enterprise workflows require massive context windows. You feed a million tokens of customer support logs into Gemini, then let your agent pull live transaction states using `get_payment_details`. The MCP integration bridges your Google Cloud infrastructure with external billing. Your agent reads a BigQuery table of flagged accounts, then loops through `void_checkout_payment` to cancel unauthorized transactions in real time.

Audit payment lifecycles at scale

Stop writing custom API wrappers for your billing dashboard. You pass the MCP Server endpoint to your `LlmAgent` via `McpToolset`, and it instantly understands how to fetch data. The agent pulls historical data with `list_checkout_payments`. It then checks `list_payment_actions` to see exactly when a specific auth was captured, matching those timestamps against your Vertex AI anomaly detection models.

Manage merchant accounts via chat

Support teams waste hours clicking through billing dashboards. Build a Gemini-powered terminal tool that checks `get_checkout_account_info` the moment a ticket opens. If a merchant complains about missing notifications, the agent runs `list_checkout_webhooks` to verify their configuration. It handles the API calls while your team handles the customer.

Setup guide

Set up Checkout.com 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 Checkout.com 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="Checkout.com_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Checkout.com tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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

You initialize an `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL. Pass that toolset directly to the `tools` array in your `LlmAgent` setup.

Yes. You pass a `tool_names` filter to the toolset constructor. If you only want the agent to read data, you restrict it to `list_checkout_payments` and exclude the refund actions.

It works perfectly. Gemini holds massive amounts of transaction history in memory while querying the live API for updates on specific payment IDs.

The agent formats a request for `refund_checkout_payment` based on your prompt. You map the output directly into your Google Cloud logging pipeline for compliance.

Vinkius routes traffic through ephemeral, zero-trust containers. The agent accesses webhook configs and captured amounts, but the connection drops the moment the HTTP transport closes.

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