Adyen MCP Server for LangChain 4 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Adyen 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
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({
"adyen": {
"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 Adyen, 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 Adyen MCP Server
Connect your Adyen account to your AI agent to unlock enterprise-grade payment orchestration and financial management. From monitoring real-time transaction statuses to handling refunds and auditing merchant account configurations, your agent handles your global payment ecosystem through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Adyen through native MCP adapters. Connect 4 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 Monitoring — List and retrieve details for authorized, captured, or refused payments across your accounts
- Refund & Modification — Initiate refunds and manage payment modifications (captures, cancels) directly from chat
- Merchant Oversight — List and audit your merchant accounts and their technical configurations via the Management API
- Payment Method Auditing — Retrieve and verify available payment methods for specific regions and currencies
- Financial Insights — Quickly identify transaction trends and reconciliation patterns directly from your chat interface
The Adyen MCP Server exposes 4 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 Adyen to LangChain via MCP
Follow these steps to integrate the Adyen 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 4 tools from Adyen via MCP
Why Use LangChain with the Adyen MCP Server
LangChain provides unique advantages when paired with Adyen through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Adyen 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 Adyen queries for multi-turn workflows
Adyen + LangChain Use Cases
Practical scenarios where LangChain combined with the Adyen MCP Server delivers measurable value.
RAG with live data: combine Adyen tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Adyen, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Adyen tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Adyen tool call, measure latency, and optimize your agent's performance
Adyen MCP Tools for LangChain (4)
These 4 tools become available when you connect Adyen to LangChain via MCP:
get_merchant_details
Retrieve the technical configuration and status for a specific Adyen merchant account
get_payment_details
Requires the 16-digit PSP reference. Retrieve the full technical authorization and capture metadata for a specific Adyen payment
list_merchants
g. US, EU regions) and find a required Merchant ID. Retrieve all active merchant accounts associated with your Adyen company profile
refund_payment
Always double-check the amount before processing. Requires original PSP reference. Initiate a full or partial refund for a previously captured payment in Adyen
Example Prompts for Adyen in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Adyen immediately.
"Check the status of payment with PSP reference '8816123456789012'."
"Refund $25.00 for PSP reference '8516123456789012'."
"List all my active merchant accounts."
Troubleshooting Adyen MCP Server with LangChain
Common issues when connecting Adyen to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAdyen + LangChain FAQ
Common questions about integrating Adyen 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 Adyen 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 Adyen to LangChain
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.