How to Use the UnionPay Open Platform MCP in LangChain
Build complex payment flows and secure transactions using LangChain.
Works with every AI agent you already use
…and any MCP-compatible client
Connect UnionPay Open Platform MCP to LangChain
Create your Vinkius account to connect UnionPay Open Platform 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.
Orchestrate full card lifecycle for LangChain
The `request_card_token` tool lets your agent tokenize a UnionPay card immediately. After getting the token, you can pass it to `verify_card_kyc`, which checks identity and binds the card in one step. You'll build multi-step pipelines that handle everything from initial payment setup using `init_secure_payment` to confirming the final status with `get_qr_transaction_status`. This structured approach lets you manage complex payments without hardcoding steps.
Manage UnionPay QR codes for LangChain
`generate_qr_code` creates a unique payment identifier that your agent can use. Once the code is generated, the flow continues by calling `get_qr_transaction_status`. This mechanism checks if the payment went through successfully. This pairing allows you to build reliable checkout systems. You'll execute the full sequence—from generating the QR code to checking its final status—all within a single reasoning chain.
Control card tokens with LangChain
Need to revoke access or cancel an old token? Use `cancel_card_token` to unbind an existing UnionPay card token. This is crucial for security protocols. If you suspect fraud, the agent can first run `check_card_risk_status` before allowing any subsequent actions. It's a critical step in making your payment flow safer.
Set up UnionPay Open Platform MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - 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 LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"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 UnionPay Open Platform tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"unionpay-open-platform-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 UnionPay Open Platform transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UnionPay Open Platform. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about UnionPay Open Platform MCP in LangChain
Use it with your favorite AI tools
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Start using the UnionPay Open Platform MCP today
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