Mollie MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Mollie through the 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
Vinkius supports streamable HTTP and SSE.
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": {
"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())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Mollie through native MCP adapters. Connect 10 tools via the 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 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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Mollie MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 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.
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
Mollie + LangChain Use Cases
Practical scenarios where LangChain combined with the Mollie MCP Server delivers measurable value.
RAG with live data: combine Mollie tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Mollie, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Mollie tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Mollie tool call, measure latency, and optimize your agent's performance
Mollie MCP Tools for LangChain (10)
These 10 tools become available when you connect Mollie to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Mollie to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMollie + LangChain FAQ
Common questions about integrating Mollie MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.