How to Use the Nuvemshop MCP in Vercel AI SDK

Q: How does the Vercel AI SDK handle OAuth for Nuvemshop merchants?

The SDK uses the authProvider configuration during client initialization to pass merchant-specific tokens. This ensures each merchant only accesses their own store data during active sessions.

Feed real-time Nuvemshop catalog and order data directly into your React components with the Vercel AI SDK and this MCP Server.

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Connect Nuvemshop MCP to Vercel AI SDK

Create your Vinkius account to connect Nuvemshop 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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Setup Nuvemshop with Vercel AI SDK

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Render live catalog updates with your MCP Server.

`list_products` retrieves your active inventory details so your Vercel AI SDK frontend can render stock levels instantly. Your users watch Nuvemshop product names, SKUs, and pricing populate their screens without waiting for a full page reload. By feeding these tools directly into `streamText`, the client renders UI components as the data arrives from the API. This setup bypasses slow loading spinners, keeping your buyers engaged while the backend processes the Nuvemshop catalog feed.

Generate checkout links and orders in chat.

`create_order` builds manual transactions on your store directly from raw user inputs in your chat UI. Your Vercel AI SDK client captures the buyer's email and item selection, then instantly triggers the API call. You can display the resulting Nuvemshop order details in a custom React component the moment the API responds. This approach removes friction from phone sales or conversational commerce by letting the agent build the cart.

Build promotional campaigns on the fly.

`create_coupon` generates active discount codes on your store during live chat sessions based on user behavior. The Vercel AI SDK client evaluates the conversation context and instantly mints a percentage or absolute discount. Once the tool executes, the frontend displays the new Nuvemshop code in a copy-pasteable badge. You don't have to build complex backend routing because the client communicates directly with the API through the Vercel AI SDK and our MCP Server interface.

Setup guide

Set up Nuvemshop 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Nuvemshop tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Nuvemshop transactions",
});

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

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

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Common questions about Nuvemshop MCP in Vercel AI SDK

Install the required packages with npm and instantiate the client using `createMCPClient`. You then pass the tools directly into `generateText` or `streamText` to let your agent interact with store data.

Yes, this Nuvemshop MCP Server is built to run in edge environments without cold starts. Your Vercel AI SDK application can query products or create orders from any global edge node.

The SDK uses the `authProvider` configuration during client initialization to pass merchant-specific tokens. This ensures each merchant only accesses their own store data during active sessions.

The SDK catches the error and streams the failure state directly to your UI component. You should call `mcpClient.close()` in your cleanup block to prevent memory leaks when connections drop.

Our zero-trust V8 sandbox isolates every session to prevent cross-tenant leaks. Your raw customer records, emails, and order histories are processed ephemerally and never stored on Vinkius servers.

Use it with your favorite AI tools

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