Mollie MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mollie as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="mollie_agent",
tools=tools,
system_message=(
"You help users with Mollie. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mollie tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Mollie MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Mollie automatically
Why Use AutoGen with the Mollie MCP Server
AutoGen provides unique advantages when paired with Mollie through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mollie tools to solve complex tasks
Role-based architecture lets you assign Mollie tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Mollie tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Mollie tool responses in an isolated environment
Mollie + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Mollie MCP Server delivers measurable value.
Collaborative analysis: one agent queries Mollie while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Mollie, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Mollie data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Mollie responses in a sandboxed execution environment
Mollie MCP Tools for AutoGen (10)
These 10 tools become available when you connect Mollie to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Mollie to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Mollie + AutoGen FAQ
Common questions about integrating Mollie MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
