Deck Commerce MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. 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 gives every Deck Commerce tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- 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 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.
How to Connect Deck Commerce to Vercel AI SDK via MCP
Follow these steps to integrate the Deck Commerce MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Deck Commerce integration everywhere
Built-in streaming UI primitives let you display Deck Commerce tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Deck Commerce + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Deck Commerce MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Deck Commerce in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Deck Commerce tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Deck Commerce capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Deck Commerce through natural language queries
Deck Commerce MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Deck Commerce to Vercel AI SDK via MCP:
get_account_metadata
Returns account-level metadata such as organization name, active integrations, and system configuration. Retrieve settings and metadata for your Deck Commerce account
get_order_details
Resolves line item details, shipping addresses, tax information, and the full order history trail. Get detailed information for a specific order
get_shipment_tracking
Resolves carrier status updates, delivery estimates, and current shipment location. Get tracking and shipping details for a specific shipment
get_sku_stock_level
Provides a detailed breakdown of quantities at individual fulfillment nodes and identifies current inventory status. Get current stock level and status for a specific SKU
list_available_inventory
Returns a list of SKUs with their total available-to-sell, on-hand, and reserved quantities across all nodes. List current inventory levels across all items
list_backordered_items
Identifies products where demand exceeds current on-hand availability. List all items currently on backorder (mock logic)
list_oms_orders
Returns order metadata including order numbers, current status, and customer identifiers. List all customer orders in your Deck Commerce OMS
list_order_returns
Returns a list of return requests including return reasons, RMA numbers, and current processing state. List all customer returns and their processing status
list_processed_shipments
Returns shipment metadata including carrier information, tracking numbers, and fulfillment timestamps. List all shipments processed by Deck Commerce
search_orders_by_number
Matches keywords against order numbers, customer names, and email addresses to isolate specific OMS records. Search for orders using an order number or customer info
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.
"List all customer orders from today that are 'Pending'."
"What is the stock level for 'Blue Runner Shoes' (SKU: RUN-99)?"
"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 the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDeck Commerce + Vercel AI SDK FAQ
Common questions about integrating Deck Commerce MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Deck Commerce with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Deck Commerce to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.