Square MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Payment, Get Customer, Get Order Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Square through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Square app connector for Vercel AI SDK 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
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Square, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 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.
The Vercel AI SDK gives every Square tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 a new payment
Get details for a specific customer
Get metadata for an order
Get metadata for a payment
Retrieve stock levels
List all catalog items
List store customers
Supports pagination. List recent store payments
List your business locations
Search for specific customers
Requires location_ids. Search for store orders
Connect Square to Vercel AI SDK via MCP
Follow these steps to wire Square into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Square MCP Server
Vercel AI SDK provides unique advantages when paired with Square through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Square integration everywhere
Built-in streaming UI primitives let you display Square tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Square + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Square MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Square in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Square tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Square capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Square through natural language queries
Example Prompts for Square in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Square immediately.
"List all active business locations in my Square account."
"Show me all payments from today with their status, amounts, and payment methods."
"Search for all orders from customer David Chen and show his purchase history."
Troubleshooting Square MCP Server with Vercel AI SDK
Common issues when connecting Square to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSquare + Vercel AI SDK FAQ
Common questions about integrating Square MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.