VTEX Checkout MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect VTEX Checkout through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 VTEX Checkout, 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 VTEX Checkout MCP Server
Connect your VTEX e-commerce checkout API to any AI agent and streamline your store's pre-purchase operations through natural conversation.
The Vercel AI SDK gives every VTEX Checkout tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Cart Simulation — Run complete order simulations with items, quantities, and sellers to instantly preview totals, discounts, and available shipping options for any postal code.
- Shopping Cart Management — Retrieve the full state of any active shopping cart (orderform), including items, client profile, payment conditions, and logistics.
- Coupon Management — Apply discount coupons to active carts and immediately see the impact on totals.
- Client Profiles — Look up registered client profiles by user ID — retrieve name, CPF/CNPJ, email, and contact details.
- Address Management — Register new shipping addresses for clients, streamlining the checkout flow.
- Payment Simulation — Validate payment tokens and simulate payment conditions before placing an order.
The VTEX Checkout MCP Server exposes 6 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.
How to Connect VTEX Checkout to Vercel AI SDK via MCP
Follow these steps to integrate the VTEX Checkout MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from VTEX Checkout and passes them to the LLM
Why Use Vercel AI SDK with the VTEX Checkout MCP Server
Vercel AI SDK provides unique advantages when paired with VTEX Checkout 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 VTEX Checkout integration everywhere
Built-in streaming UI primitives let you display VTEX Checkout 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
VTEX Checkout + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the VTEX Checkout MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query VTEX Checkout in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate VTEX Checkout tools and return structured JSON responses to any frontend
Chatbots with tool use: embed VTEX Checkout capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with VTEX Checkout through natural language queries
VTEX Checkout MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect VTEX Checkout to Vercel AI SDK via MCP:
add_coupon
Apply a coupon to a shopping cart
create_address
Add a new address to a client profile
get_client_profile
Get client profile details
get_orderform
Get details of a specific shopping cart
simulate_order
Simulate a cart and shipping costs
simulate_payment
Simulate a payment validation
Example Prompts for VTEX Checkout in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with VTEX Checkout immediately.
"Simulate a cart with 2 units of product ID 1234 and shipping to ZIP 01310-100"
"Apply coupon code SUMMER20 to orderform abc123"
"Look up the client profile for user ID 98765"
Troubleshooting VTEX Checkout MCP Server with Vercel AI SDK
Common issues when connecting VTEX Checkout to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVTEX Checkout + Vercel AI SDK FAQ
Common questions about integrating VTEX Checkout 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.Connect VTEX Checkout 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 VTEX Checkout to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.