How to Use the Mollie MCP in Pydantic AI

Q: Can I use Mollie with Pydantic AI for real-time order tracking?

Yes. You can schedule your agent to call getorder periodically, and it will validate the retrieved status every time.

Validate your Mollie transactions with Pydantic AI for total operational accuracy.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mollie MCP to Pydantic AI

Create your Vinkius account to connect Mollie to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Mollie with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate payments in Pydantic AI

Invoke `create_payment` and watch as Pydantic AI checks the response against your defined models. If the API returns unexpected fields, the agent stops immediately. This prevents silent errors in your checkout flow. You know exactly what data your agent is working with at every step.

Query orders with Pydantic AI

Use `get_order` to pull data into your Pydantic AI agent with full type safety. The framework ensures that shipping and item details match your expected structure. Your code becomes more reliable by catching formatting issues at runtime. You never have to worry about hallucinated fields in your financial reports.

Audit transactions via Pydantic AI

Use `list_payments` to retrieve your history for reconciliation. Pydantic AI validates the list, ensuring every transaction record is complete before your agent processes it. This provides a safety net for your financial data. You get the speed of automation with the strictness of typed code.

Setup guide

Set up Mollie MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "mollie-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Mollie tools.",
)

result = await agent.run("List recent Mollie transactions")
print(result.output)

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Mollie now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

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 Pydantic AI

The framework validates every response from this MCP Server against your Pydantic models. If the data structure is off, the agent fails safely.

It does. You can import the full toolset and use any of the ten available operations within your agent logic.

Yes. You can schedule your agent to call `get_order` periodically, and it will validate the retrieved status every time.

It is straightforward. Just point your toolset at the Vinkius endpoint, and your agent will auto-discover the available tools.

The server uses ephemeral sessions and zero-trust principles. Only your authorized agent can request data, and all traffic is strictly logged for your audit.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript