How to Use the Square MCP in OpenAI Agents SDK
Automate end-to-end commerce workflows with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Square MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Square tools as native definitions — JSON schemas resolve automatically. - 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.
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.
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Real-time monitoring
Live
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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
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place for every integration
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Common questions about Square MCP in OpenAI Agents SDK
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