ShippingBo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get Order, Get Product, List Orders, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ShippingBo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The ShippingBo app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 ShippingBo, 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 ShippingBo MCP Server
Connect your ShippingBo account to any AI agent and take full control of your e-commerce logistics and fulfillment orchestration through natural conversation. ShippingBo provides a comprehensive platform for centralizing orders, managing multi-warehouse stocks, and orchestrating shipments directly from your chat interface.
The Vercel AI SDK gives every ShippingBo 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 Orchestration — List and retrieve detailed metadata for your sales orders to keep your fulfillment pipeline synchronized programmatically.
- Product & Stock Management — Access and monitor your product catalog and update stock counts for specific items directly from the AI interface.
- Shipment Lifecycle Control — List and monitor shipments and track delivery progress via natural language to ensure customer satisfaction.
- Warehouse Slot Intelligence — Access and monitor warehouse slots to maintain a clear overview of your physical storage organization.
- Operational Monitoring — Track system activity and monitor packs to ensure your logistics setup is always optimized using simple AI commands.
The ShippingBo 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.
All 8 ShippingBo tools available for Vercel AI SDK
When Vercel AI SDK connects to ShippingBo through Vinkius, your AI agent gets direct access to every tool listed below — spanning fulfillment-automation, multi-warehouse, inventory-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get order details
Get product details
List all orders
List packaging options
List all products
List all shipments
List warehouse storage slots
Update product stock level
Connect ShippingBo to Vercel AI SDK via MCP
Follow these steps to wire ShippingBo into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the ShippingBo MCP Server
Vercel AI SDK provides unique advantages when paired with ShippingBo 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 ShippingBo integration everywhere
Built-in streaming UI primitives let you display ShippingBo 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
ShippingBo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ShippingBo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ShippingBo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ShippingBo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ShippingBo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ShippingBo through natural language queries
Example Prompts for ShippingBo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ShippingBo immediately.
"List all products in my ShippingBo catalog."
"Update stock for product ID 54321 to 150 units."
"List the last 5 shipments in ShippingBo."
Troubleshooting ShippingBo MCP Server with Vercel AI SDK
Common issues when connecting ShippingBo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpShippingBo + Vercel AI SDK FAQ
Common questions about integrating ShippingBo 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.