How to Use the Mollie MCP in OpenAI Agents SDK
Handle your e-commerce finances directly inside your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mollie MCP to OpenAI Agents SDK
Create your Vinkius account to connect Mollie to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate payments in OpenAI Agents SDK
Trigger `create_payment` directly from your agent logic to initiate transactions without leaving your codebase. You define the amount and currency, and the tool handles the request to your Mollie account immediately. Your agent keeps the process synchronous by wrapping calls in an async context manager. This ensures your production workflows remain stable and predictable.
Verify order status with this MCP Server
Use `get_order` to pull specific line items and shipping details into your OpenAI Agents SDK runtime. This gives your agent real-time visibility into order progress without manual lookup. Parsing the response happens instantly within your agent's execution loop. You'll catch status changes before they impact your customer experience.
Audit financial records for OpenAI Agents SDK
Call `list_payments` or `list_refunds` to generate snapshots of your store performance. Your agent can aggregate this data to track daily revenue or identify patterns in chargebacks. This method keeps your financial data centralized and accessible. You get a clear view of your cash flow directly through your agent's interface.
Set up Mollie MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Mollie tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Mollie tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Mollie tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Mollie Agent",
instructions="You have access to Mollie tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
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Common questions about Mollie MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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