How to Use the Mollie MCP in Google ADK
Connect Mollie to your Google ADK enterprise agent to manage European transactions and customer data.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Sync customer records in Google ADK
Your agent calls `list_customers` to pull profiles directly into your Google Cloud environment. It bridges the gap between your payment data and your existing enterprise records. This allows your agent to associate specific transactions with customer IDs. You can then route these details into BigQuery for further analysis.
Query available payment methods for Google ADK
The `list_payment_methods` tool identifies which options you should show to your users. Your agent makes this decision dynamically based on the current Mollie configuration. It removes the need for hardcoded logic in your agent's system prompt. You get an accurate list of supported methods every time the agent runs.
Execute payment lookups with MCP Server
Your agent uses `list_payments` to retrieve recent transaction history for reporting. It acts as a data source for your agent's reasoning process. This tool provides the visibility needed to audit transactions within your Google ADK workflow. You can filter the results programmatically to focus on specific timeframes.
Set up Mollie 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 Mollie 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="Mollie_agent",
model="gemini-2.0-flash",
instruction="You have access to Mollie 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 Mollie. 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 Mollie MCP in Google ADK
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