How to Use the Nuvei MCP in LangChain

Q: Can a LangChain agent handle partial refunds with Nuvei?

Yes. Your agent analyzes the refund request, calls getpayment to verify the original capture, and then executes refundpayment with the specific partial amount.

Connect your LangChain agents directly to Nuvei to run secure tokenization and settle payments inside your runtime chains.

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Connect Nuvei MCP to LangChain

Create your Vinkius account to connect Nuvei to LangChain 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 Nuvei with LangChain

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Chain tokenization and charges in LangChain

The `create_card_token` tool converts raw payment details into secure tokens directly within your LangChain execution steps. Your agent chains this token output into `create_payment` to charge the customer without exposing raw card numbers to your logs. We pass the resulting transaction status down the chain to trigger subsequent fulfillment steps automatically. Using this MCP Server within LangGraph allows your multi-step pipelines to handle complex payment logic. If a transaction fails, the chain routes to `get_payment` to verify the state before attempting a retry or logging a failure.

Automate settlement and voids via LangChain agents

The `capture_payment` tool registers previously authorized transactions inside your LangChain agent runtimes. The agent inspects your order database, finds pending holds, and executes captures or triggers `void_payment` to release the funds. This setup removes the need for manual billing intervention by letting your agent make decisions based on live API responses. You get full visibility of these multi-step payment operations through LangSmith tracing when using an MCP client. Every call to `refund_payment` or payment lookup shows up with exact latency and inputs, giving you a clear audit trail of your automated financial operations.

Manage vaulted tokens inside LangChain pipelines

The `update_token` tool modifies expiry dates and card metadata inside your LangChain customer management workflows. When a user updates their billing profile, your agent calls this tool to refresh the vaulted token without asking for the full card number again. For customers closing accounts, the agent calls `delete_token` to immediately stop recurring charges. This keeps your token database clean and reduces compliance overhead since your LangChain pipeline handles the lifecycle events directly.

Setup guide

Set up Nuvei MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Nuvei tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "nuvei-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Nuvei transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Nuvei MCP in LangChain

Install langchain-mcp-adapters and use the MultiServerMCPClient to point to the Vinkius endpoint. This registers all ten payment tools, allowing your LangChain agents to call create_payment or get_token directly during a run.

Yes. Your agent analyzes the refund request, calls get_payment to verify the original capture, and then executes refund_payment with the specific partial amount.

LangChain is stateless by default, but you can use client.session() to maintain context across tool calls. This is useful when your agent needs to call get_token and then instantly run update_token on the same reference.

The step returns the API failure message to the agent. You can configure your LangChain routing to catch these errors and trigger void_payment or log the transaction ID for manual review.

This MCP integration ensures raw credit card details are instantly sent to Nuvei via create_card_token and never touch your local logs or LangChain context. The server only returns secure payment tokens, keeping your runtime environment entirely out of PCI-DSS scope.

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