Shipmondo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Shipment, Get Account Balance, Get Order, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Shipmondo 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 Shipmondo app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 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 Shipmondo, 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 Shipmondo MCP Server
Connect your Shipmondo account to any AI agent and take full control of your e-commerce logistics. This integration uses the Shipmondo v3 REST API to orchestrate multi-carrier shipments, manage sales orders, and query global pickpoints.
The Vercel AI SDK gives every Shipmondo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Core Capabilities
- Shipment Orchestration — List, retrieve, and create shipments programmatically across hundreds of supported carriers.
- Sales Order Management — Monitor your fulfillment pipeline by retrieving detailed order metadata and statuses.
- Pickpoint Intelligence — Find the nearest delivery points by carrier code, country, and zip code to optimize customer delivery options.
- Financial Visibility — Access real-time account balances to ensure uninterrupted logistics operations.
The Shipmondo MCP Server exposes 11 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 11 Shipmondo tools available for Vercel AI SDK
When Vercel AI SDK connects to Shipmondo through Vinkius, your AI agent gets direct access to every tool listed below — spanning order-fulfillment, label-printing, multi-carrier, 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.
Pass data as a JSON string. Create a new shipment
Check account balance
Get sales order details
Get details for a specific shipment
Get a shipping rate quote
List all available shipping carriers
List all sales orders
Find carrier pickpoints
List all return shipments
List all shipments
List all configured warehouses
Connect Shipmondo to Vercel AI SDK via MCP
Follow these steps to wire Shipmondo 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 Shipmondo MCP Server
Vercel AI SDK provides unique advantages when paired with Shipmondo 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 Shipmondo integration everywhere
Built-in streaming UI primitives let you display Shipmondo 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
Shipmondo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Shipmondo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Shipmondo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Shipmondo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Shipmondo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Shipmondo through natural language queries
Example Prompts for Shipmondo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Shipmondo immediately.
"Find DHL pickpoints in Denmark for zip code 2100."
"Show me all shipments from this week with carrier performance and delivery status breakdown."
"Get shipping rate quotes for a 5kg package from Copenhagen to Berlin with all available carriers."
Troubleshooting Shipmondo MCP Server with Vercel AI SDK
Common issues when connecting Shipmondo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpShipmondo + Vercel AI SDK FAQ
Common questions about integrating Shipmondo 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.