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How to Use Deck Commerce MCP Server with Vercel AI SDK using Vinkius

Give Vercel AI SDK instant access to 10 tools to Get Account Metadata, Get Order Details, Get Shipment Tracking, and more using Vinkius.

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

Ask AI about this MCP Server for Vercel AI SDK

The Deck Commerce MCP Server for Vercel AI SDK is a standout in the Ecommerce category, giving your AI agent 10 tools to work with, ready to go from day one.

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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 Deck Commerce, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Deck Commerce
Fully ManagedNo server setup
Plug & PlayNo coding needed
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PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
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High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

About Deck Commerce MCP Server

Integrate Deck Commerce, the leading order management system (OMS) for direct-to-consumer retailers, directly into your AI workflow. Manage your customer orders, track real-time inventory levels across facilities, and monitor shipments and returns using natural language.

The Vercel AI SDK collapses the distance between Deck Commerce data and the user interface to zero. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. There is no loading state, no polling, no manual state management. The SDK gives every tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. It runs on Edge Functions, Cloudflare Workers, and any Node.js runtime, meaning Deck Commerce data reaches the browser at the speed of the nearest edge node.

What you can do

  • Order Oversight. List and retrieve detailed information for all customer orders and their current processing status.
  • Inventory Intelligence. Access real-time stock levels for your SKUs and monitor backordered items.
  • Shipment Tracking. Track processed shipments, access tracking numbers, and monitor delivery progress.
  • Return Management. List customer returns and monitor their status directly via chat.

The Deck Commerce MCP Server exposes 10 tools through Vinkius. Connect it to Vercel AI SDK in under two minutes. Fully managed, no infrastructure to provision, no vendor lock-in.

10 tools included

Explore every tool Deck Commerce exposes to Vercel AI SDK through Vinkius.

View all 10 tools

Connect Deck Commerce to Vercel AI SDK via MCP

Follow these steps to connect Deck Commerce to Vercel AI SDK. The setup takes under two minutes and requires no coding or server hosting.

01

Get your Vinkius Access Token

Go to cloud.vinkius.com to log in or create a free account, and retrieve your personal access token from the dashboard. This token is required to authenticate your connection to the hosted Deck Commerce MCP server.
02

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
03

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
04

Run the script

Save to agent.ts and run with npx tsx agent.ts
05

Explore tools

The SDK discovers 10 tools from Deck Commerce and passes them to the LLM

Why Use Vercel AI SDK with the Deck Commerce MCP Server

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

01

Stream Deck Commerce tool results from Vinkius directly into React, Svelte, or Vue components with progressive rendering. Users see data appear in real-time, not after a loading spinner

02

Full TypeScript type inference for every Deck Commerce tool discovered through Vinkius. IDE autocomplete shows available parameters and return types as you write

03

Runs on Edge Functions, Cloudflare Workers, and any Node.js runtime. Deck Commerce data from Vinkius reaches the browser from the nearest edge node

04

`useChat` and `streamText` primitives handle the entire Deck Commerce tool call lifecycle: invocation through Vinkius, streaming, error states, and UI updates. No manual state management

Deck Commerce + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Deck Commerce in Vercel AI SDK

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

01

"List all customer orders from today that are 'Pending'."

02

"What is the stock level for 'Blue Runner Shoes' (SKU: RUN-99)?"

03

"Show me the tracking info for Order #DC123."

Troubleshooting Deck Commerce MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Deck Commerce + Vercel AI SDK FAQ

Common questions about integrating Deck Commerce 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.
01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Deck Commerce using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Connect Deck Commerce to Vercel AI SDK

One click to install, 10 tools ready instantly. Fully managed, no API key setup required.