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Vinkius runs on OpenAI Agents SDK

How to Use the Square MCP in OpenAI Agents SDK

Automate end-to-end commerce workflows with OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Square MCP on Cursor AI Code Editor MCP Client Square MCP on Claude Desktop App MCP Integration Square MCP on OpenAI Agents SDK MCP Compatible Square MCP on Visual Studio Code MCP Extension Client Square MCP on GitHub Copilot AI Agent MCP Integration Square MCP on Google Gemini AI MCP Integration Square MCP on Lovable AI Development MCP Client Square MCP on Mistral AI Agents MCP Compatible Square MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on OpenAI Agents SDK

Connect Square MCP to OpenAI Agents SDK

Create your Vinkius account to connect Square to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Process complex payments and refunds

You can build reliable payment flows that handle the full lifecycle. For instance, an agent can first check current inventory using `get_stock_count` before executing a sale via `create_payment`. This prevents processing transactions for out-of-stock items. The system handles exceptions automatically. If a refund is needed, it pulls past transaction data with `get_payment_details` to ensure the reversal amount matches the original payment record.

Track customer and order history

Agents can manage the entire customer relationship lifecycle. You'll use `list_customers` or narrow down searches using `search_customers`. After finding a customer, you pull specific details with `get_customer` to verify their purchase history. If you need historical context, an agent pulls all necessary information by running `search_orders`, which helps confirm what was bought and when.

Manage multi-location inventory

When a business operates in multiple physical spaces, the agents keep everything synchronized. You can list all locations using `list_store_locations` to know where assets are held. Then, for any specific site, you run `get_stock_count` to get real-time levels. This ensures that regardless of which store processes the sale, the system always knows what's available.

Setup guide

Set up Square 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. 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. 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 Square tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Square 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="Square Agent",
            instructions="You have access to Square tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Square. 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.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Square MCP in OpenAI Agents SDK

You configure the agent to run a sequence of steps. First, it checks `list_store_locations` to identify all channels. Then, it uses those IDs in conjunction with `search_orders` to gather transaction data before making a final reconciliation report.
The agents support standard payment creation via the `create_payment` tool. You'll send necessary parameters like amount, customer ID, and location ID to ensure a successful transaction.
The MCP Server interacts directly with the live Square API endpoints, pulling payment and customer metadata on demand. This keeps your local system updated without needing to store massive amounts of raw transaction data.
You call the `list_customers` tool, which handles pagination for you. This method ensures that even if your customer base is huge, the agent will fetch every single record available.
The server touches Customer Data (names, emails, purchase history). Always ensure your agents adhere to regional data retention policies before running any automated jobs.

Start using the Square MCP today

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