CartonCloud MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CartonCloud 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 CartonCloud, 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 CartonCloud MCP Server
Connect your CartonCloud account to any AI agent and orchestrate your WMS (Warehouse Management System) and TMS (Transport Management System) through natural conversation. Streamline 3PL operations and inventory management.
The Vercel AI SDK gives every CartonCloud 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
- Order Fulfillment — List and retrieve details for outbound sale orders and inbound purchase orders natively
- Inventory Visibility — Monitor current stock levels by product and warehouse location in real-time
- Transport Management — List transport consignments and track delivery statuses securely
- Master Data Control — Access warehouse product details, including SKUs and unit of measure metadata
- Customer Oversight — List and manage customer profiles and associated logistics data flawlessly
- Financial Auditing — Retrieve generated invoices for logistics services directly within your workspace
The CartonCloud 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 CartonCloud to Vercel AI SDK via MCP
Follow these steps to integrate the CartonCloud 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 8 tools from CartonCloud and passes them to the LLM
Why Use Vercel AI SDK with the CartonCloud MCP Server
Vercel AI SDK provides unique advantages when paired with CartonCloud 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 CartonCloud integration everywhere
Built-in streaming UI primitives let you display CartonCloud 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
CartonCloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CartonCloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CartonCloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CartonCloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CartonCloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CartonCloud through natural language queries
CartonCloud MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect CartonCloud to Vercel AI SDK via MCP:
get_product_stock
Get current stock levels for a specific product
get_sale_order_details
Get details for a specific sale order
list_consignments
List transport consignments
list_logistics_customers
List customers associated with the tenant
list_logistics_invoices
List generated invoices for logistics services
list_purchase_orders
List inbound purchase orders
list_sale_orders
List outbound sale orders
list_warehouse_products
List warehouse products and master data
Example Prompts for CartonCloud in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CartonCloud immediately.
"List my last 10 sale orders in CartonCloud."
"What is the current stock for product ID 555?"
"Show me the transport consignments for today."
Troubleshooting CartonCloud MCP Server with Vercel AI SDK
Common issues when connecting CartonCloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCartonCloud + Vercel AI SDK FAQ
Common questions about integrating CartonCloud 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 CartonCloud 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 CartonCloud to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.