How to Use the UnionPay Open Platform MCP in LlamaIndex

Q: How does LlamaIndex use UnionPay Open Platform to manage card tokens?

You run requestcardtoken and store the resulting token data. By indexing this information, you create a searchable record of which cards were successfully tokenized and when. This provides valuable audit trails for your application.

Q: How do I troubleshoot payment failures with UnionPay Open Platform using LlamaIndex?

Use the getqrtransactionstatus tool, and then index those failure states. Your RAG application can answer 'What went wrong?' by retrieving the specific status code from past runs.

Index UnionPay Open Platform data and build knowledge-augmented applications with LlamaIndex.

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Connect UnionPay Open Platform MCP to LlamaIndex

Create your Vinkius account to connect UnionPay Open Platform to LlamaIndex 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 UnionPay Open Platform with LlamaIndex

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Build RAG payment systems for LlamaIndex

The `verify_card_kyc` tool verifies identity, but its output can become part of a searchable knowledge base. You index successful KYC results alongside transaction data. When you query past sessions, the LlamaIndex framework grounds answers in this actual API data—not hallucinations. This combines live UnionPay Open Platform data with your internal documents.

Track payment status using MCP Server for LlamaIndex

`get_qr_transaction_status` provides the current state of a QR code payment, and this output is indexable. You can query historical records to see how transactions progressed. This allows you to build an internal knowledge graph that tracks payments over time, combining live API data with historical context.

Manage secure checkout flows in LlamaIndex

When a user starts a payment, the `init_secure_payment` tool creates a session. Indexing these initial session details lets you query why a specific transaction might have failed. By combining this with other data, your application can provide detailed explanations about past checkout attempts.

Setup guide

Set up UnionPay Open Platform MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all UnionPay Open Platform MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to UnionPay Open Platform tools.",
)
response = await agent.run("List recent UnionPay Open Platform data")

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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 LlamaIndex

You run `request_card_token` and store the resulting token data. By indexing this information, you create a searchable record of which cards were successfully tokenized and when. This provides valuable audit trails for your application.

Yes. You can combine documentation with live data by indexing results from `check_card_risk_status`. A user asking 'Why was this payment blocked?' gets an answer grounded in the risk status output.

The MCP Server supports both QR code and online checkout flows. You can index results from `generate_qr_code` to track the lifecycle of payments initiated by physical codes.

Use the `get_qr_transaction_status` tool, and then index those failure states. Your RAG application can answer 'What went wrong?' by retrieving the specific status code from past runs.

This server handles card tokens, transaction statuses, and KYC verification results. Specifically, `verify_card_kyc` touches identity and card binding details that you'll want to store in your vector index.

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