How to Use the Mollie MCP in Google ADK

Q: Can I use Mollie with Google ADK to track chargebacks?

You can. The listchargebacks tool provides a list of disputed payments, allowing your agent to flag them for immediate review.

Connect Mollie to your Google ADK agent to manage your e-commerce operations at scale.

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Connect Mollie MCP to Google ADK

Create your Vinkius account to connect Mollie 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 Mollie with Google ADK

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Manage e-commerce orders via Google ADK

Integrate `get_order` into your Google ADK workflow to pull shipping and line item data from Mollie. Your agent can then push this information into BigQuery for deeper analysis. This keeps your order management loop tight. You spend less time switching between dashboards and more time acting on live data.

Process refunds inside Google ADK

Run `get_refund` or `list_refunds` to track capital flow effectively. Your agent can audit these actions to ensure your financial records stay accurate. Everything happens through the standard toolset interface. You maintain control over your refund policy while letting your agent handle the legwork.

Sync customer profiles with Google ADK

Call `list_customers` to keep your CRM data updated within your Google ADK agent. You can then use `get_customer` to pull specific details for targeted support. This removes the manual burden of syncing records. Your agent stays informed about every customer's history.

Setup guide

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

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Common questions about Mollie MCP in Google ADK

It uses an MCP toolset to make direct calls to the API. Your agent treats these as standard function calls within its reasoning loop.

You can. The `list_chargebacks` tool provides a list of disputed payments, allowing your agent to flag them for immediate review.

It will. The server is designed to handle high-frequency requests, and your agent can filter results using the provided tool parameters.

Your credentials are kept behind the Vinkius gateway. Your agent only uses an endpoint token, keeping your primary keys isolated.

It accesses name, email, and billing history associated with your Mollie account. This data is transmitted over encrypted channels only when your agent invokes a tool.

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