How to Use the Square MCP in CrewAI

Q: Can I list payments with crewai?

Yes. The Finance Agent is assigned the listpayments tool. This agent handles pagination automatically, ensuring the full history of transactions is available for review.

Q: Does the MCP Server support customer searches with crewai?

Absolutely. A dedicated Customer Service Agent uses searchcustomers, allowing you to find people based on criteria and retrieve their profile details efficiently.

Q: What if I need location data for my workflow using crewai?

You can use the liststorelocations tool. This gives your initiating agent a list of all IDs needed to run subsequent searches like searchorders across every physical site.

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Connect Square MCP to CrewAI

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

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Setup Square with CrewAI

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Financial Reconciliation Crew

Set up a Finance Agent that first runs `list_payments` to get all recent transactions. A second agent can then take those results and cross-reference them against the order data using `get_order_details`. The crew ensures every payment is accounted for, which minimizes manual effort when auditing Square records.

Customer Service Agent

Delegate customer lookup to a dedicated agent. This agent uses the `search_customers` tool and can pull specific details via `get_customer`. The result is passed to another agent for immediate response generation. This setup makes sure support tickets get addressed quickly using accurate, up-to-date client data.

Inventory Audit Crew

Design a crew where an Inventory Agent uses `get_stock_count` to check stock levels across all required items. A Reporting Agent then takes that count and cross-references it with the list of available goods from `list_catalog`. This automated audit finds discrepancies before they cost you money.

Setup guide

Set up Square 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 Square tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Square 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="Square Analyst",
        goal="Access and analyze Square data via MCP.",
        backstory="Expert analyst with direct Square access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Square 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 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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Common questions about Square MCP in CrewAI

You assign the role of 'Order Manager' to an agent. That agent executes `search_orders`, requiring location IDs, and compiles a summary report that you can read.

The MCP Server touches payment records, customer details, order metadata, and inventory counts. CrewAI routes these different data types to specialized agents.

Yes. The Finance Agent is assigned the `list_payments` tool. This agent handles pagination automatically, ensuring the full history of transactions is available for review.

Absolutely. A dedicated Customer Service Agent uses `search_customers`, allowing you to find people based on criteria and retrieve their profile details efficiently.

You can use the `list_store_locations` tool. This gives your initiating agent a list of all IDs needed to run subsequent searches like `search_orders` across every physical site.

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