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How to Use the Mollie MCP in OpenAI Agents SDK

Handle your e-commerce finances directly inside your OpenAI Agents SDK production pipeline.

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OpenAI Agents SDK

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.

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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.

Setup guide

Set up Mollie MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with 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. 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. 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.

agent.py
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())

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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 OpenAI Agents SDK

Yes. You can use the `list_payments` tool to fetch transaction logs and write logic within your agent to match those against your internal ledgers.
It does. The `create_payment` tool interacts directly with the API to generate secure payment links for your customers.
Use the `get_customer` tool by passing the customer ID. Your agent will receive a structured response containing their profile details.
Every request is handled over secure transport layers. Vinkius manages the endpoint authentication so your data stays locked down.
It accesses transaction logs, order details, and customer profiles. Your agent only sees what you explicitly authorize through the tool definitions.

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