How to Use the Adyen MCP in LangChain

Connect LangChain to your Adyen MCP Server. Build multi-step payment resolution chains that read transactions and process refunds automatically.

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Connect Adyen MCP to LangChain

Create your Vinkius account to connect Adyen 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 Adyen with LangChain

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Automate refunds with LangChain

The `get_payment_details` tool feeds raw authorization metadata directly into your LangChain agent. You give the agent a PSP reference, and it pulls the full technical capture history before deciding what to do next. Once the agent confirms the transaction status, it passes that context to `refund_payment`. Your chain evaluates the original amount, calculates the partial refund if necessary, and executes the return without human intervention.

Route requests across Adyen MCP Server accounts

A ReAct agent uses `list_merchants` to map out every active account in your company profile. It grabs the regional IDs for US and EU divisions before running any further operations. After identifying the correct region, the agent calls `get_merchant_details` to verify technical configurations. This ensures your multi-step pipeline never attempts a transaction on an improperly configured or suspended merchant account.

Trace payment tool calls in LangSmith

Every time your agent touches the Adyen API, LangSmith tracks the exact inputs and outputs. Developers see exactly which PSP reference went into the system and how long the MCP protocol took to return the payload. Token usage and latency metrics appear right alongside your payment data. Debugging a failed refund chain takes seconds because the exact tool execution trace sits in your dashboard.

Setup guide

Set up Adyen 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 Adyen 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({
    "adyen-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 Adyen transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Adyen MCP in LangChain

Use MultiServerMCPClient with your HTTP transport URL. Call client.get_tools() and pass them directly to your ReAct agent.

Yes. The agent pulls the original PSP reference and triggers a partial or full return based on your prompt logic.

No. The standard integration handles schema conversion automatically.

Your agent runs the list tools to find the correct ID before executing any payment actions.

LangChain only processes the PSP references and authorization metadata during the active chain execution. We isolate your transaction details in a zero-trust V8 sandbox that destroys the environment after the run.

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