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Wherefour MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Get Inventory Item, Get Order, List Customers, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wherefour through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Wherefour app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Wherefour, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Wherefour MCP Server

Connect your Wherefour account to any AI agent to automate your inventory management, production tracking, and lot traceability. Wherefour provides a specialized ERP platform for manufacturers and producers to maintain end-to-end transparency across their supply chain.

The Vercel AI SDK gives every Wherefour tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Inventory & Catalog Orchestration — List and search inventory items with detailed metadata, including product codes and manufacturing specifications.
  • Lot Traceability — Access stock lot details and batch information to maintain comprehensive quality control and compliance.
  • Order Management — Retrieve and monitor sales orders and production orders to keep your manufacturing workflow on track.
  • Stakeholder Directory — Access and manage your database of customers, vendors, and suppliers programmatically.
  • Financial Insights — Retrieve billing invoices and purchase records directly from the AI interface to monitor operational costs.
  • Resource Navigation — Explore storage locations and manufacturing formulas using natural language commands.

The Wherefour MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Wherefour tools available for Vercel AI SDK

When Vercel AI SDK connects to Wherefour through Vinkius, your AI agent gets direct access to every tool listed below — spanning lot-traceability, production-tracking, manufacturing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_inventory_item

Get details of a specific inventory item

get_order

Get details of a specific order

list_customers

List all customers

list_formulas

List production formulas/recipes

list_inventory_items

List all inventory items

list_invoices

List customer invoices

list_locations

List storage locations

list_orders

List all sales and production orders

list_purchases

List purchase records

list_stock_lots

List all stock lots

list_vendors

List all vendors/suppliers

search_inventory

Search for inventory items

Connect Wherefour to Vercel AI SDK via MCP

Follow these steps to wire Wherefour into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Wherefour and passes them to the LLM

Why Use Vercel AI SDK with the Wherefour MCP Server

Vercel AI SDK provides unique advantages when paired with Wherefour through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Wherefour integration everywhere

03

Built-in streaming UI primitives let you display Wherefour tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Wherefour + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Wherefour MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Wherefour in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Wherefour tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Wherefour capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Wherefour through natural language queries

Example Prompts for Wherefour in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wherefour immediately.

01

"Search our inventory for 'Organic Cane Sugar' and pull up the production formula that uses it for the upcoming beverage batch."

02

"Check the lot traceability for batch 'L-2024-QT3' of Arabica Coffee Beans and tell me which warehouse location it is currently stored in."

03

"List all pending production orders for 'Acme Supermarkets' and verify if their latest invoice from last month has been paid."

Troubleshooting Wherefour MCP Server with Vercel AI SDK

Common issues when connecting Wherefour to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Wherefour + Vercel AI SDK FAQ

Common questions about integrating Wherefour MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.