What businesses use Square?

Square serves millions of merchants worldwide — restaurants, retail, services, and online businesses. From food trucks to multi-location restaurant groups.

Does Square support inventory management across multiple locations?

Yes, Square allows you to track and manage inventory levels across various locations in real-time.

Can I track employee hours and roles?

Yes, you can manage team members, assign specific roles, and track their shifts and performance.

Square MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Square
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Square as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Square. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Square?"
    )
    print(response)

asyncio.run(main())

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About Square MCP Server

Connect your Square business to any AI agent — the universal commerce platform.

LlamaIndex agents combine Square tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Square MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Square

Why Use LlamaIndex with the Square MCP Server

LlamaIndex provides unique advantages when paired with Square through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Square tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Square tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Square, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Square tools were called, what data was returned, and how it influenced the final answer

Square + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Square MCP Server delivers measurable value.

Hybrid search: combine Square real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Square to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Square for fresh data

Analytical workflows: chain Square queries with LlamaIndex's data connectors to build multi-source analytical reports

Square MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Square to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Square to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Square + LlamaIndex FAQ

Common questions about integrating Square MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Square tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.