3,400+ MCP servers ready to use
Vinkius

Square MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Payment, Get Customer, Get Order Details, and more

Built by Vinkius GDPR 11 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 Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Square app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 11 tools available."
        ),
    )

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

asyncio.run(main())
Square
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 account to any AI agent to automate your omnichannel commerce and business management. Square provides a robust suite of APIs for processing payments, managing customer relationships, and tracking inventory across all your physical and digital locations through natural conversation.

LlamaIndex agents combine Square tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through 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

  • Payment & Transaction Orchestration — List recent payments and retrieve detailed metadata for specific transactions to ensure your revenue is always synchronized.
  • Customer CRM Control — List and search through your customer database and manage profile metadata directly from the AI interface.
  • Order Lifecycle Management — Search and monitor orders across your account to maintain a clear overview of your sales performance.
  • Inventory & Stock Tracking — Retrieve real-time inventory counts for catalog objects to ensure your product availability is always accurate.
  • Location Oversight — Access and monitor all business locations and their associated metadata via natural language commands.

The Square MCP Server exposes 11 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.

All 11 Square tools available for LlamaIndex

When LlamaIndex connects to Square through Vinkius, your AI agent gets direct access to every tool listed below — spanning square, payment-processing, point-of-sale, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_payment

Create a new payment

get_customer

Get details for a specific customer

get_order_details

Get metadata for an order

get_payment_details

Get metadata for a payment

get_stock_count

Retrieve stock levels

list_catalog

List all catalog items

list_customers

List store customers

list_payments

Supports pagination. List recent store payments

list_store_locations

List your business locations

search_customers

Search for specific customers

search_orders

Requires location_ids. Search for store orders

Connect Square to LlamaIndex via MCP

Follow these steps to wire Square into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Square

Why Use LlamaIndex with the Square MCP Server

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

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

Example Prompts for Square in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Square immediately.

01

"List all active business locations in my Square account."

02

"Show me all payments from today with their status, amounts, and payment methods."

03

"Search for all orders from customer David Chen and show his purchase history."

Troubleshooting Square MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Square + LlamaIndex FAQ

Common questions about integrating Square MCP Server with LlamaIndex.

01

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.
02

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.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.