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How to Use the Checkout.com MCP in Google ADK

Connect Checkout.com to Google ADK and let Gemini agents execute real financial operations on your BigQuery data.

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Google ADK

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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Run Checkout.com logic over BigQuery data

You already store customer billing histories in Google Cloud. Connecting this MCP Server lets your Gemini agent read that data and trigger a `request_payment` instantly. Long-context reasoning means Gemini can analyze thousands of rows before acting. It spots unpaid invoices and fires off `capture_payment` calls without dropping a single token.

Audit refunds with Google ADK agents

Support teams waste hours manually checking gateway logs. Your enterprise agent can pull the exact structural matching by running `get_payment_actions` across the entire customer account. If a user demands their money back, the agent executes `refund_payment`. The system moves cash back to the Visa network while logging the explicit clawback logic straight into your Vertex AI pipelines.

Maintain card vaults automatically

Expired cards break subscription revenue. A scheduled agent scans your database and uses this MCP Server to pull precise active arrays within the native vault via `get_instrument`. When a user updates their billing profile, the agent calls `update_instrument`. Old cards get removed via `delete_instrument`, keeping your payment infrastructure clean and highly available.

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. 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 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,
)

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

Run pip install google-adk first. Create an McpToolset using your Vinkius MCP endpoint and pass it into the LlmAgent tools array.
They can. The agent evaluates the customer's request against your BigQuery rules, then calls the refund tool if the logic passes.
Massive transaction logs fit easily. You can dump entire account histories into the prompt, and the agent will extract the right IDs to run `get_payment_details` accurately.
Pass a tool_names filter when initializing the toolset. This prevents the agent from calling destructive actions like voids unless explicitly allowed.
Every request routes through a single-use authentication token managed by Vinkius. The server processes explicit cloud logging and vault limits without exposing raw primary account numbers to your Google Cloud project.

Start using the Checkout.com MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

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

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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