Square MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Square through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Square Assistant",
instructions=(
"You help users interact with Square. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Square"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Square MCP Server
Connect your Square business to any AI agent — the universal commerce platform.
The OpenAI Agents SDK auto-discovers all 10 tools from Square through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Square, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Payments — Track transactions, tips, refunds, and card processing
- Orders — Browse sales with line items, fulfillments, and discounts
- Catalog — Menu/product management with pricing and variations
- Customers — CRM with visit history, loyalty, and total spend
- Inventory — Stock levels, alerts, and cross-location tracking
- Team — Employee management with roles and locations
The Square MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Square to OpenAI Agents SDK via MCP
Follow these steps to integrate the Square MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Square
Why Use OpenAI Agents SDK with the Square MCP Server
OpenAI Agents SDK provides unique advantages when paired with Square through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Square + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Square MCP Server delivers measurable value.
Automated workflows: build agents that query Square, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Square, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Square tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Square to resolve tickets, look up records, and update statuses without human intervention
Square MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Square to OpenAI Agents SDK via MCP:
get_catalog_item
Get catalog item
get_customer
Get customer profile
get_payment
Get payment details
list_catalog
List catalog items
list_inventory
List inventory counts
list_locations
List business locations
list_orders
Core sales tool. List orders
list_payments
"How much did we take in today?" List recent payments
list_team
List team members
search_customers
Returns profile, visit count, total spend, loyalty points, and notes. CRM intelligence. Search customers
Example Prompts for Square in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Square immediately.
"Show me today's payments and total tips collected"
"What is the current stock level for medium T-shirts downtown?"
"Show me a list of my top 5 customers by total spend."
Troubleshooting Square MCP Server with OpenAI Agents SDK
Common issues when connecting Square to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Square + OpenAI Agents SDK FAQ
Common questions about integrating Square MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Square with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Square to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.