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How to Use the Dola Checkout MCP in Google ADK

Build enterprise billing agents with Google ADK and Dola Checkout powered by Gemini.

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Google ADK

Connect Dola Checkout MCP to Google ADK

Create your Vinkius account to connect Dola 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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BigQuery-driven checkouts using Google ADK

Connect your warehouse data directly to live transactions. Your Gemini agent reads customer trends from BigQuery, then calls `create_checkout` to generate targeted payment links for high-value users. There is no middleman code to write. Because Gemini handles massive token contexts, your agent can review months of purchase history before executing `list_checkouts` to find abandoned sessions. This keeps your checkout flows deeply tied to your enterprise data.

Enterprise customer profile matching

Match live checkout events to your Google Cloud database. The agent runs `get_customer` and `list_customers` to sync incoming buyer details with your internal CRM systems. This MCP Server handles the connection securely. Manual data entry is eliminated for your sales team. The agent updates your cloud data warehouse the moment a new customer is found, keeping your records accurate.

Cloud-scale webhook control with Google ADK

Keep your event-driven architecture updated. Using `create_webhook` and `list_webhooks` over this MCP connection, your agent registers listeners that feed payment events directly into Cloud Run or Pub/Sub. If an endpoint goes down, the agent detects the failure and runs `update_order` or re-creates the listener. This ensures your downstream database always matches your real-time payment states.

Setup guide

Set up Dola 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 Dola 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="Dola Checkout_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dola 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 Dola Checkout. 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

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Common questions about Dola Checkout MCP in Google ADK

Install `google-adk` and configure `McpToolset` with the Vinkius HTTP transport URL. Pass this toolset directly into the `tools` parameter of your `LlmAgent` to expose all 12 payment tools.
Yes. Use the `tool_names` filter when initializing the toolset. You can restrict the agent to read-only tools like `get_order` and `list_orders` while blocking write tools like `update_order`.
Your agent can ingest long customer support transcripts and previous purchase histories, then call `create_order` with the exact localized pricing and products the customer discussed.
Yes. You can write an agent that queries BigQuery for unpaid accounts, pulls current order details using `get_order`, and automatically updates their payment state.
All webhook payloads and customer details retrieved via `get_customer` are processed in memory. Vinkius runs this MCP server in an ephemeral sandbox, ensuring no transaction details are cached or exposed to external networks.

Start using the Dola Checkout MCP today

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Built & Managed by Vinkius 30s setup 12 tools

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

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