How to Use the Wherefour MCP in Vercel AI SDK

Q: How do I query customer records with Wherefour and Vercel AI SDK?

You use the listcustomers tool. Because we're using the Vercel AI SDK, the agent streams every single customer record into your UI as it's found. You get a live list without waiting for the entire dataset to load.

Q: Does the Wherefour MCP Server support OAuth with Vercel AI SDK?

Yes, it supports an authProvider for OAuth. This handles user authentication so you can secure the connection between your frontend product and the powerful tools exposed by the Wherefour MCP Server.

See inventory data appear in real time with the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wherefour MCP to Vercel AI SDK

Create your Vinkius account to connect Wherefour 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.

GDPR Free for Subscribers

Setup Wherefour with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time Inventory Data for Vercel AI SDK

The `search_inventory` tool lets your agent look up specific items. When connected through the Vercel AI SDK, this data streams directly into the user interface as soon as it's found—no loading spinners needed. The developer can build out a live product where users see inventory changes populating the screen instantly. This real-time feed makes complex ERP lookups feel fast and native.

Manage Orders with Vercel AI SDK

Need to check an existing sales order? Call `get_order` to pull all details for a specific transaction. Because the results stream into the UI via the Vercel AI SDK, users get immediate feedback on the order's status. This capability is perfect for dashboards that need constant updates. It gives your frontend application the illusion of direct database access without blocking the user experience.

Track Supplies using Vercel AI SDK

Use `list_stock_lots` to get a full list of all recorded stock lots, which is critical for traceability. Passing this data through the Vercel AI SDK means the client sees each lot number appear live in their web app. This makes auditing simple and visual. Instead of waiting for a single API call to finish, your users watch the required inventory details assemble on screen.

Setup guide

Set up Wherefour 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 Wherefour 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 Wherefour 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 Wherefour. 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.

Connect Wherefour now

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 Wherefour MCP in Vercel AI SDK

You use the `list_customers` tool. Because we're using the Vercel AI SDK, the agent streams every single customer record into your UI as it's found. You get a live list without waiting for the entire dataset to load.

You can stream details on inventory items, orders, vendor lists, and stock lots. The streaming nature of the Vercel AI SDK makes even large datasets feel responsive in a web browser.

Absolutely. Since the MCP tool results stream directly into the UI, you can build powerful, user-facing products that look and feel like they're talking straight to your database.

Yes, it supports an `authProvider` for OAuth. This handles user authentication so you can secure the connection between your frontend product and the powerful tools exposed by the Wherefour MCP Server.

This server touches customer records, inventory items, and order details. The use of streaming ensures that data is processed and displayed instantly within your controlled environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript