4,000+ servers built on vurb.ts
Vinkius
LangChainFramework
Mollie MCP Server

Bring Payment Gateway
to LangChain

Learn how to connect Mollie to LangChain and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create PaymentGet Payment DetailsList Customer SubscriptionsList CustomersList Payment MethodsList PaymentsList Refunds

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Mollie

What is the Mollie MCP Server?

Connect your Mollie account to any AI agent and manage European payments through natural conversation.

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.)

How it works

  1. Subscribe to this server
  2. Enter your Mollie API Key
  3. Start managing payments from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • E-commerce — automate payment creation and status tracking
  • Finance Teams — monitor refunds and reconciliation
  • Developers — integrate European payment methods

Built-in capabilities (7)

create_payment

Create a new payment

get_payment_details

Get details for a specific payment

list_customer_subscriptions

List subscriptions for a customer

list_customers

List Mollie customers

list_payment_methods

List available payment methods

list_payments

List Mollie payments

list_refunds

List all refunds

Why LangChain?

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.

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

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

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

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

See it in action

Mollie in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Mollie and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Mollie to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Mollie in LangChain

The Mollie 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Mollie for LangChain

Every tool call from LangChain to the Mollie MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I create payments and track their status?

Yes. Create payment links with amount, description, and redirect URL, then track status (open, paid, failed, expired).

02

How does Mollie authentication work?

Mollie uses Bearer authentication with your API Key against api.mollie.com/v2.

03

Which European payment methods are supported?

All methods enabled in your Mollie profile are accessible: iDEAL, Bancontact, SEPA, credit cards, PayPal, Klarna, and more.

04

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.

05

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.

06

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.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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