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How to Use the VTEX Checkout MCP in Vercel AI SDK

Build real-time checkout experiences directly into your UI using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect VTEX Checkout MCP to Vercel AI SDK

Create your Vinkius account to connect VTEX Checkout to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Real-Time Checkout Interactions with Vercel AI SDK

When you need to check a client's details, the `get_client_profile` tool pulls data and streams it into the UI instantly. Users see profile fields appear live—no loading spinner, just immediate data flow. This makes building user-facing products much smoother. You can call other tools like `add_coupon` or `simulate_order`, and the results stream right back to the React component.

Simulating Transactions with Vercel AI SDK

The `simulate_order` tool lets your agent run a complete cart calculation without touching live inventory. It calculates both the cart total and projected shipping costs. Need to check if payment goes through? Use `simulate_payment`. This validates payment logic on the front end before committing any actual funds.

Managing Checkout Data with Vercel AI SDK

The `get_orderform` tool gathers all details for a specific shopping cart, giving your agent a full picture of what's in the checkout. You can then use this data to calculate final pricing. If the user needs to change their location, the `create_address` tool handles adding that new address to the client profile immediately.

Setup guide

Set up VTEX Checkout MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all VTEX Checkout tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent VTEX Checkout transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by VTEX. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about VTEX Checkout MCP in Vercel AI SDK

Your agent uses the MCP Server tools directly. For example, calling `simulate_order` lets it calculate shipping and costs live in your Next.js frontend without needing a backend API call for every step.
It exposes client profile details, specifically the user's address information when using `get_client_profile` or `create_address`. This is critical for accurate shipping simulations.
Yes. The agent uses the `add_coupon` tool to apply a specific promotional code directly against the shopping cart data, simulating the final price drop in real time.
Payment validation happens via `simulate_payment`. This tool checks if a given payment method is valid for the simulated cart, allowing you to show error states instantly in your UI.
This MCP Server touches client profile details. Always ensure that any PII retrieved via `get_client_profile` is handled according to your application's security guidelines.

Start using the VTEX Checkout MCP today

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Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for VTEX Checkout. Just plug in your AI agents and start using Vinkius.

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