How to Use the YoneTeam MCP in Vercel AI SDK

Q: How do I check YoneTeam purchase order details using Vercel AI SDK?

You call getorderdetails via your mcpClient. The result streams directly into your Next.js page, allowing you to display the data in real time as it arrives. This avoids traditional loading states.

Q: Can YoneTeam's supplier list be streamed with Vercel AI SDK?

Yes. Use listsuppliers and pass the results through your streaming function. You can build an autocomplete feature that populates instantly as the user types, making the UI feel fast.

Q: What data does YoneTeam provide regarding account information in Vercel AI SDK?

The getme tool provides core account details. This usually includes the client's name and current operational status, which is useful for restricted UI views.

Q: Which tools can I use with YoneTeam in Vercel AI SDK?

You have access to ten operations, including listdemands, createdemand, and all the listing functions like listoffers. You pass these methods into your generateText function.

Showcasing real-time ERP data streams directly in your UI with Vercel AI SDK.

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Connect YoneTeam MCP to Vercel AI SDK

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

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Live Purchasing Order Lookups using Vercel AI SDK

The `get_order_details` tool fetches specific purchase order information. When you call this, your front end streams the data live—no spinner required. Users see details appearing instantly as they type, making the experience feel native. You can build a checkout flow that checks multiple orders concurrently. Call `list_purchase_orders`, and let the results stream directly into the React components without delay.

Displaying Supplier Catalog Data in Vercel AI SDK

Building an inventory dashboard? Use `list_materials_catalog` to get all available product data. The streaming capability means complex lists don't bottleneck your UI, giving users immediate feedback. This is perfect for showing real-time material availability during a guided product selection process on a website.

Streaming Current Account Status with Vercel AI SDK

Need to know the user's account status? The `get_me` tool delivers current account details. Streaming these results means your client doesn't wait for a whole JSON object; they see the name and balance pop in immediately. This makes authenticated sections feel snappy and responsive, keeping the developer experience focused on speed.

Setup guide

Set up YoneTeam 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 YoneTeam 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 YoneTeam transactions",
});

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

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Common questions about YoneTeam MCP in Vercel AI SDK

You call `get_order_details` via your mcpClient. The result streams directly into your Next.js page, allowing you to display the data in real time as it arrives. This avoids traditional loading states.

Yes. Use `list_suppliers` and pass the results through your streaming function. You can build an autocomplete feature that populates instantly as the user types, making the UI feel fast.

The `get_me` tool provides core account details. This usually includes the client's name and current operational status, which is useful for restricted UI views.

You have access to ten operations, including `list_demands`, `create_demand`, and all the listing functions like `list_offers`. You pass these methods into your generateText function.

The server handles sensitive Purchase Order details. When you stream this information, ensure your client-side logic doesn't accidentally log or display unauthorized fields.

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