Commerce Layer MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Commerce Layer 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 Commerce Layer, 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 Commerce Layer MCP Server
Connect your AI assistant to Commerce Layer, the headless commerce API and order management system built for multi-market operations.
The Vercel AI SDK gives every Commerce Layer tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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 Management — List recent orders, filter by status, and inspect individual order details including line items and payment info.
- SKU Lookup — Search for products by SKU code and retrieve pricing, inventory levels, and metadata.
- Customer Data — Find customers by email, list their order history, and check associated addresses.
The Commerce Layer MCP Server exposes 9 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 Commerce Layer to Vercel AI SDK via MCP
Follow these steps to integrate the Commerce Layer 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 9 tools from Commerce Layer and passes them to the LLM
Why Use Vercel AI SDK with the Commerce Layer MCP Server
Vercel AI SDK provides unique advantages when paired with Commerce Layer 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 Commerce Layer integration everywhere
Built-in streaming UI primitives let you display Commerce Layer 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
Commerce Layer + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Commerce Layer MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Commerce Layer in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Commerce Layer tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Commerce Layer capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Commerce Layer through natural language queries
Commerce Layer MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Commerce Layer to Vercel AI SDK via MCP:
get_order
Retrieve details of a specific order
get_order_stats
Calculate basic stats for a set of orders
get_sku
Retrieve details of a specific SKU
list_customers
Retrieve a list of customers
list_orders
Retrieve a list of orders from Commerce Layer
list_prices
Retrieve a list of product prices
list_shipments
Retrieve a list of shipments
list_skus
Retrieve a list of SKUs (products)
search_orders_by_email
Find orders belonging to a specific customer email
Example Prompts for Commerce Layer in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Commerce Layer immediately.
"Show me the last 10 orders in Commerce Layer."
"Find the SKU 'TSHIRT-BLUE-L' and show its details."
"Find the customer with email 'jane.doe@example.com'."
Troubleshooting Commerce Layer MCP Server with Vercel AI SDK
Common issues when connecting Commerce Layer to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCommerce Layer + Vercel AI SDK FAQ
Common questions about integrating Commerce Layer 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 Commerce Layer 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Commerce Layer to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.