How to Use the Afosto MCP in Vercel AI SDK

Q: How do I get started with Afosto and the Vercel AI SDK?

First, run npm install ai @ai-sdk/mcp. Then, use createMCPClient to connect to your Vinkius URL. From there, you pass the Afosto tools into the generateText or streamText functions.

Q: What kind of data can I get from the Afosto tools?

You get access to four core e-commerce functions: listcustomers for user profiles, listinventory for stock levels, listorders for sales history, and listproducts for your full catalog.

Q: Can I build a live sales feed for my storefront with Afosto and the Vercel AI SDK?

Yes. You can have an agent periodically call listorders and stream the results directly into a component. Because the AI SDK streams data, your feed will update without jarring page reloads.

Stream Afosto e-commerce data directly into your UI. Build live dashboards and real-time customer views with the Vercel AI SDK.

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Connect Afosto MCP to Vercel AI SDK

Create your Vinkius account to connect Afosto 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 Afosto with Vercel AI SDK

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Build Live Inventory Dashboards

Stop showing your users stale data. When your AI client calls `list_inventory`, the Vercel AI SDK streams results directly into your React or Next.js components. Users see stock levels update in real-time, right in the UI. This isn't just a loading spinner followed by a data dump. You can build an interface where a user asks, "How many large blue shirts are in the Chicago warehouse?" and the numbers appear on screen as the tool runs. It's a completely different user experience for internal tools or customer-facing apps.

Create Real-Time Customer Profiles

Give your support team the information they need, instantly. Connect this MCP Server to your internal tools and let your agents ask for a customer's history in plain English. The AI client uses `list_customers` and `list_orders` to pull the data from Afosto. With the AI SDK, that customer's entire order history streams directly into your agent's dashboard. No page reloads. No waiting for a backend process to finish. They get the context they need, right when they ask for it, making for faster and smarter customer support.

Power AI-Driven Product Catalogs

Let users search your product catalog with natural language. An AI client armed with the `list_products` tool can find items, check variants, and compare pricing based on a simple user query. It's a fast way to build a smarter search for your e-commerce site. The Vercel AI SDK makes the response feel immediate. As your agent finds matching products in Afosto, they appear in the UI one by one. This gives you the foundation for building dynamic, AI-powered product discovery features that feel alive.

Setup guide

Set up Afosto 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 Afosto 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 Afosto transactions",
});

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

Get your connection token →

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

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One

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Common questions about Afosto MCP in Vercel AI SDK

First, run `npm install ai @ai-sdk/mcp`. Then, use `createMCPClient` to connect to your Vinkius URL. From there, you pass the Afosto tools into the `generateText` or `streamText` functions.

You get access to four core e-commerce functions: `list_customers` for user profiles, `list_inventory` for stock levels, `list_orders` for sales history, and `list_products` for your full catalog.

Yes. You can have an agent periodically call `list_orders` and stream the results directly into a component. Because the AI SDK streams data, your feed will update without jarring page reloads.

It's handled. Your Vinkius subscription gives you a single endpoint token. You can use the Vercel AI SDK's `authProvider` to manage it, so you don't have to hardcode secrets in your frontend.

Vinkius processes requests in an ephemeral, zero-trust environment. Your Afosto customer and order data is only held in memory for the fraction of a second it takes to run the tool and is never written to disk or logged.

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