2,500+ MCP servers ready to use
Vinkius

CloudCart MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CloudCart 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 CloudCart, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
CloudCart
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 CloudCart MCP Server

Connect your CloudCart account to any AI agent and take full control of your e-commerce operations through natural conversation. Streamline how you manage your product catalog and customer orders natively.

The Vercel AI SDK gives every CloudCart tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Product Oversight — List and retrieve details for all products in your catalog including SKUs and prices natively
  • Order Intelligence — Access and monitor customer orders, including fulfillment statuses flawlessly
  • Category Logistics — List and manage store categories to keep your catalog organized securely
  • Customer Tracking — Access registered customer profiles and their interaction history flawlessly
  • Abandoned Cart Auditing — Retrieve a list of abandoned shopping carts to identify recovery opportunities flawlessly
  • Brand Visibility — List all product brands configured in your store directly within your workspace flawlessly

The CloudCart MCP Server exposes 8 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 CloudCart to Vercel AI SDK via MCP

Follow these steps to integrate the CloudCart 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 8 tools from CloudCart and passes them to the LLM

Why Use Vercel AI SDK with the CloudCart MCP Server

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

03

Built-in streaming UI primitives let you display CloudCart 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

CloudCart + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

CloudCart MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect CloudCart to Vercel AI SDK via MCP:

01

get_abandoned_carts

Retrieve a list of abandoned shopping carts

02

get_order_store_details

Get detailed information for a specific order

03

get_product_store_details

Get detailed information for a specific product

04

list_store_brands

List all product brands configured in the store

05

list_store_categories

List all product categories in the store

06

list_store_customers

List all registered customers in the store

07

list_store_orders

List all customer orders in the store

08

list_store_products

List all products in the store catalog

Example Prompts for CloudCart in Vercel AI SDK

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

01

"List all products in my CloudCart store."

02

"Show me the last 5 orders."

03

"What is the status of order ID 'order_98765'?"

Troubleshooting CloudCart MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

CloudCart + Vercel AI SDK FAQ

Common questions about integrating CloudCart 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 CloudCart to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.