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Vinkius

BigCommerce MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
BigCommerce
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* 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 BigCommerce MCP Server

Connect your BigCommerce account to any AI agent and empower it to operate your entire storefront backend, analyzing transaction metrics, verifying inventory structures, and managing live customer payloads natively.

The Vercel AI SDK gives every BigCommerce 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

  • Catalog & Products — Browse product pages, retrieve deep dimensional variations explicitly, and trace active brand/category mappings
  • Orders & Transactions — Fetch macro native lists of live orders, dive into specific payloads, and dissect physical line-items independently
  • Customers & Profiles — Explore natively attached user profiles extracting precise lifetime order impact and structural routing paths
  • Coupons & Rules — Evaluate distinctly mapped active discounting strategies, validating constraints securely inside boundaries
  • Store Information — Audit high-level enterprise configuration bounds capturing localized active settings intuitively

The BigCommerce 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 BigCommerce to Vercel AI SDK via MCP

Follow these steps to integrate the BigCommerce MCP Server with Vercel AI SDK.

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 10 tools from BigCommerce and passes them to the LLM

Why Use Vercel AI SDK with the BigCommerce MCP Server

Vercel AI SDK provides unique advantages when paired with BigCommerce 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 BigCommerce integration everywhere

03

Built-in streaming UI primitives let you display BigCommerce 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

BigCommerce + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

BigCommerce MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect BigCommerce to Vercel AI SDK via MCP:

01

get_order

Retrieve the exact payload for a BigCommerce native order

02

get_order_products

Get line items constrained to an explicit Order

03

get_product

Get complete details of an explicit BigCommerce product

04

get_store_info

Retrieve macroscopic BigCommerce store mapping metadata

05

list_brands

List all explicitly mapped BigCommerce Brands

06

list_categories

List BigCommerce native hierarchy categories

07

list_coupons

List all configured BigCommerce coupons logically

08

list_customers

List paginated explicitly registered BigCommerce customers

09

list_orders

List paginated BigCommerce native orders

10

list_products

List paginated BigCommerce catalog products

Example Prompts for BigCommerce in Vercel AI SDK

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

01

"List standard product endpoints matching page 1 in the active catalog."

02

"Fetch strictly explicitly details of BigCommerce Order ID 1420."

03

"Report active coupon arrays dynamically to understand limitations natively."

Troubleshooting BigCommerce MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

BigCommerce + Vercel AI SDK FAQ

Common questions about integrating BigCommerce 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.

Connect BigCommerce to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.