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Mollie MCP Server for LangChainGive LangChain instant access to 7 tools to Create Payment, Get Payment Details, List Customer Subscriptions, and more

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LangChain is the leading Python framework for composable LLM applications. Connect Mollie through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Mollie MCP Server for LangChain is a standout in the Money Moves category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mollie-alternative": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Mollie, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Mollie
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 account to any AI agent and manage European payments through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Mollie through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Payment Management — Create, list, and inspect payments with full status details
  • Refund Tracking — Browse all processed refunds
  • Customer Management — List registered customers for recurring billing
  • Subscriptions — View active and cancelled subscriptions per customer
  • Payment Methods — List all enabled payment methods (iDEAL, Bancontact, cards, etc.)

The Mollie MCP Server exposes 7 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Mollie tools available for LangChain

When LangChain connects to Mollie through Vinkius, your AI agent gets direct access to every tool listed below — spanning payment-gateway, recurring-billing, refund-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create payment on Mollie

Create a new payment

get

Get payment details on Mollie

Get details for a specific payment

list

List customer subscriptions on Mollie

List subscriptions for a customer

list

List customers on Mollie

List Mollie customers

list

List payment methods on Mollie

List available payment methods

list

List payments on Mollie

List Mollie payments

list

List refunds on Mollie

List all refunds

Connect Mollie to LangChain via MCP

Follow these steps to wire Mollie into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 7 tools from Mollie via MCP

Why Use LangChain with the Mollie MCP Server

LangChain provides unique advantages when paired with Mollie through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Mollie MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Mollie queries for multi-turn workflows

Mollie + LangChain Use Cases

Practical scenarios where LangChain combined with the Mollie MCP Server delivers measurable value.

01

RAG with live data: combine Mollie tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Mollie, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Mollie tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Mollie tool call, measure latency, and optimize your agent's performance

Example Prompts for Mollie in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Mollie immediately.

01

"List recent payments and their statuses."

02

"Create a payment of €50 for a premium upgrade."

03

"Show enabled payment methods and list refunds."

Troubleshooting Mollie MCP Server with LangChain

Common issues when connecting Mollie to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mollie + LangChain FAQ

Common questions about integrating Mollie MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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