How to Use the UnionPay Open Platform MCP in CrewAI

Q: What data does UnionPay Open Platform handle regarding KYC when using CrewAI?

The verifycardkyc tool verifies identity and card binding. This process involves handling personal identification details that the crew must use as a prerequisite for payment.

Q: What is the best way to manage multiple payment methods with UnionPay Open Platform and CrewAI?

Define a team of agents. One agent can assess risk via checkcardriskstatus, and another takes action using initsecurepayment only if the initial check passes.

Build autonomous payment operations using CrewAI and UnionPay Open Platform.

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Connect UnionPay Open Platform MCP to CrewAI

Create your Vinkius account to connect UnionPay Open Platform to CrewAI 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 CrewAI

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Autonomous Payment Orchestration with MCP Server

CrewAI runs specialized agents that work together to complete a payment operation. One agent verifies identity via `verify_card_kyc`, while another initiates the secure checkout using `init_secure_payment`. The system acts like a team, handling the sequence of payments and checks without needing constant human input.

Multi-Agent Payment Status Monitoring with CrewAI

You can assign a monitor agent to watch payment transactions. This agent repeatedly calls `get_qr_transaction_status` until the result is final, providing continuous oversight. The crew ensures that no transaction falls through the cracks, handling escalation if status checks stall.

Full Card Management Workflow with CrewAI

A dedicated agent can manage the card lifecycle. It first calls `request_card_token` to secure credentials and then provides an action for the secondary agent to use, such as calling `cancel_card_token` later. The specialized roles within the crew make complex operations simple to define.

Setup guide

Set up UnionPay Open Platform MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke UnionPay Open Platform tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="UnionPay Open Platform Analyst",
    goal="Access and analyze UnionPay Open Platform data via MCP.",
    backstory="Expert analyst with direct UnionPay Open Platform access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent UnionPay Open Platform transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="UnionPay Open Platform Analyst",
        goal="Access and analyze UnionPay Open Platform data via MCP.",
        backstory="Expert analyst with direct UnionPay Open Platform access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent UnionPay Open Platform transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

You pass the MCP Server URL directly into your agent definition. The agents treat the tools as specialized actions they must execute collaboratively to reach a goal.

The `verify_card_kyc` tool verifies identity and card binding. This process involves handling personal identification details that the crew must use as a prerequisite for payment.

Yes, you can build an entire workflow where one agent generates the QR Code using `generate_qr_code`, and another monitors it using `get_qr_transaction_status`.

Define a team of agents. One agent can assess risk via `check_card_risk_status`, and another takes action using `init_secure_payment` only if the initial check passes.

The MCP Server handles card tokenization. When designing your crew tasks, always remember that `request_card_token` processes the raw credential data type, so masking remains vital.

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