Mollie MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mollie through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Mollie Assistant",
instructions=(
"You help users interact with Mollie. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mollie"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Mollie MCP Server
Connect your Mollie merchant account to your AI agent and take control of your payment workflows and e-commerce operations through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Mollie through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Mollie, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Payment Tracking — List all transactions and get real-time status updates, amounts, and metadata.
- Order Management — View e-commerce orders, including line items and fulfillment status.
- Customer Insights — Access customer profiles, payment history, and saved details.
- Refunds & Chargebacks — Monitor your refund history and stay informed about disputed payments (chargebacks).
- Create Payments — Generate new payment links with custom amounts, currencies, and descriptions.
- Deep Inspection — Fetch complete details for specific payments, orders, or customers using their unique IDs.
The Mollie MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Mollie to OpenAI Agents SDK via MCP
Follow these steps to integrate the Mollie MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Mollie
Why Use OpenAI Agents SDK with the Mollie MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mollie through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Mollie + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mollie MCP Server delivers measurable value.
Automated workflows: build agents that query Mollie, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Mollie, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mollie tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mollie to resolve tickets, look up records, and update statuses without human intervention
Mollie MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Mollie to OpenAI Agents SDK via MCP:
create_payment
Create a new Mollie payment
get_customer
g., cst_8wmqcHMN4U). Get specific customer details
get_order
g., ord_st9n7), including line items and shipping info. Get details for a specific order
get_payment
g., tr_7UhVrS0eba). Get details for a specific payment
get_refund
Get specific refund details
list_chargebacks
List payment chargebacks
list_customers
List Mollie customers
list_orders
List all e-commerce orders
list_payments
List all Mollie payments
list_refunds
List all payment refunds
Example Prompts for Mollie in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mollie immediately.
"List my 5 most recent payments and their current status."
"Create a new payment link for €45.00 for 'Service Invoice #123'."
"Show me my refund history."
Troubleshooting Mollie MCP Server with OpenAI Agents SDK
Common issues when connecting Mollie to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mollie + OpenAI Agents SDK FAQ
Common questions about integrating Mollie MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Mollie with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mollie to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
