How to Use the Blink Payment MCP in OpenAI Agents SDK

Build production-ready Python agents that handle Blink Payment transactions securely using the OpenAI Agents SDK.

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Connect Blink Payment MCP to OpenAI Agents SDK

Create your Vinkius account to connect Blink Payment to OpenAI Agents SDK 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 Blink Payment with OpenAI Agents SDK

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Secure Blink Payment MCP Server tools for OpenAI Agents

This MCP server exposes `create_payment_intent` and `refund_payment` directly to your OpenAI Agents SDK workflow. Your OpenAI agent can spin up a checkout session using `create_paylink` or return funds to a buyer without you writing custom code. Because the OpenAI Agents SDK lets you define strict guardrails, you can block unauthorized refund attempts before they hit the Blink Payment API. Every transaction call is tracked in the OpenAI dashboard to keep your books straight.

Automated customer onboarding and retrieval

The `create_customer` and `get_customer` tools let your OpenAI agents manage your buyer directory on the fly. When a user asks a question in your chat interface, the OpenAI agent looks up their history using `list_customers` to give context-aware support. You can set up specialized agents in the OpenAI Agents SDK to handle different parts of this Blink transaction flow. For example, one agent identifies the user, then hands off the conversation to a billing specialist agent to pull the Blink Payment profile.

Instant checkout link generation

The `create_paylink` tool allows your OpenAI agent to generate direct billing links during active conversation threads. If a customer agrees to a custom service quote, your OpenAI agent builds the Blink Payment link and posts it back to the chat. By configuring `cacheToolsList=True` in your OpenAI setup, you ensure the agent knows about `list_paylinks` and `get_paylink` instantly without polling delays. This keeps your Blink checkout flows snappy inside the OpenAI Agents SDK and prevents dropped sales.

Setup guide

Set up Blink Payment MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Blink Payment tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Blink Payment tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Blink Payment tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Blink Payment Agent",
            instructions="You have access to Blink Payment tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Blink Payment. 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 Blink Payment MCP in OpenAI Agents SDK

You configure the credentials on Vinkius, which handles the auth handshake. In your Python code, spin up the MCP HTTP stream pointing to your Vinkius endpoint, and your OpenAI Agents SDK will discover the tools.

Yes, you can control tool access using the OpenAI Agents SDK guardrails. While the server exposes `refund_payment` and `create_paylink`, you can write a validation check in your Python code to block agents from triggering refunds without human approval.

The OpenAI Agents SDK catches the error and reports it through the OpenAI tracing dashboard. Your agent can read the failure message from `create_payment_intent` and either retry the call or ask the user for a different billing method.

No, the MCP standard does that for you. When you pass the Vinkius HTTP server object into your OpenAI Agents SDK constructor, the SDK automatically reads the schemas for `list_payments` and other endpoints.

All payment records and customer IDs remain isolated inside the Vinkius V8 sandbox. Your OpenAI Agents SDK only receives the text confirmations and metadata returned by `get_payment`, keeping actual card details out of your LLM context.

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