How to Use the Mollie MCP in AutoGen

Q: How to give AutoGen agents access to Mollie?

Use the mcpservertools adapter to link your server to your agent constructor. This gives your agents the ability to call Mollie functions directly.

Debate financial decisions by connecting Mollie tools to your AutoGen multi-agent team.

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Connect Mollie MCP to AutoGen

Create your Vinkius account to connect Mollie to AutoGen 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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Setup Mollie with AutoGen

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Negotiate payments in AutoGen

Assign `create_payment` to an agent tasked with financial operations. If the transaction requires approval, another agent reviews the details before execution. This creates a system of checks and balances for your store. No payment goes out without the team reaching a consensus.

Audit orders using AutoGen

Have your agents debate the validity of an order by calling `get_order`. One agent checks shipping data while another verifies payment status. They compare findings to ensure accuracy. It stops mistakes that happen when a single agent works in isolation.

Manage refunds via an MCP Server

Let your team query `list_refunds` to resolve customer disputes. Agents discuss the history and decide if the refund meets your store policy. The server handles the heavy lifting of data retrieval. Your agents focus on the decision logic.

Setup guide

Set up Mollie MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mollie tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Mollie_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mollie data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Mollie_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mollie data")
    print(result.messages[-1].content)

Get your connection token →

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

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Common questions about Mollie MCP in AutoGen

Use the mcp_server_tools adapter to link your server to your agent constructor. This gives your agents the ability to call Mollie functions directly.

They can be programmed to challenge each other's interpretation of `get_payment` results. This is useful for verifying complex or flagged transactions.

Security is enforced at the server level. Only your defined agents can invoke tools, and all requests are authenticated through your Vinkius.

The server manages the API load effectively. Your agents can call tools as fast as the Mollie rate limits allow.

It only exposes the data you explicitly request through the tools. Your financial data is isolated from other processes and unauthorized access.

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