How to Use the Cin7 Omni MCP in Vercel AI SDK

Build Next.js storefronts that stream real-time Cin7 Omni inventory and order updates using the Vercel AI SDK.

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Connect Cin7 Omni MCP to Vercel AI SDK

Create your Vinkius account to connect Cin7 Omni 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 Cin7 Omni with Vercel AI SDK

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Stream Live Stock Levels to Next.js with this MCP Server

This MCP Server lets your application query live inventory quantities instantly using the `get_sku_stock_level` and `list_stock_levels` tools. Your AI client calls these tools inside `streamText` to fetch exact quantities on demand. Instead of waiting for a full page reload, the raw numbers feed directly into your React components. You get immediate UI updates for high-volume storefronts. If a customer asks about stock, the Vercel AI SDK streams the exact number to their screen. No lag. No stale cache.

Resolve Order Queries in Real-Time

The `get_sales_order_details` and `list_sales_orders` tools expose complete purchase histories directly to your streaming interface. Your agent invokes these tools to parse shipping statuses and line items on the fly. You feed the output straight to the Vercel AI SDK's UI components. Customers get answers about their shipments without staring at a loading spinner. The data renders block-by-block as the LLM processes the payload. It makes order tracking feel instant.

Browse Products via Vercel AI SDK

The `list_cin7_products` and `get_product_details` tools pull raw catalog data directly into your edge functions. Your agent uses these tools to search titles, descriptions, and pricing tables. It matches customer requests against your actual database. Because the client runs on the edge, latency stays low. You build conversational search bars that display product cards the millisecond the model identifies the SKU.

Setup guide

Set up Cin7 Omni 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 Cin7 Omni 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 Cin7 Omni 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 Cin7 Omni. 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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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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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 Cin7 Omni MCP in Vercel AI SDK

Install @ai-sdk/mcp and ai. Initialize the client with createMCPClient using your Vinkius HTTP endpoint, then pass mcpClient.tools() into generateText or streamText. Remember to call mcpClient.close() when the execution finishes.

Use the streamText function alongside our server tools like list_sales_orders. The tool outputs feed directly into your UI components, rendering data as it arrives instead of waiting for a heavy API response to finish loading.

Yes. The Vinkius MCP client is lightweight and runs perfectly in Vercel Edge Functions. You can query get_sku_stock_level with minimal cold-start overhead.

Vinkius handles the underlying API credentials for you. Your code only needs a single endpoint token passed to the client setup, keeping your secrets secure.

The server only accesses the specific inventory stock levels and sales orders you request via tools like get_sales_order_details. All requests execute inside an isolated V8 sandbox on Vinkius, meaning your customer data is never stored or logged on our servers.

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