Shippify MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Cancel Delivery, Create Delivery, Get Delivery Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Shippify 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 Shippify app connector for Vercel AI SDK is a standout in the Order Management 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 Shippify, 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 Shippify MCP Server
Connect your Shippify account to any AI agent and simplify your logistics orchestration and last-mile delivery management through natural conversation.
The Vercel AI SDK gives every Shippify 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.
What you can do
- Delivery Management — List all active, scheduled, and completed deliveries, retrieve detailed status and destination metadata
- Direct Execution — Create new delivery orders programmatically directly from your agent by providing location and package details
- Live Tracking — Access real-time geographic tracking info for active shipments to keep your customers informed
- Inventory Control — List available warehouses and pickup points linked to your account
- Operational Insights — Monitor your delivery pipeline and fulfillment efficiency directly from your agent
The Shippify 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 Shippify tools available for Vercel AI SDK
When Vercel AI SDK connects to Shippify through Vinkius, your AI agent gets direct access to every tool listed below — spanning last-mile-delivery, logistics-technology, delivery-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.
Cancel a pending delivery
Schedule a new delivery
Get details for a specific delivery
Get a delivery price quote
Check live tracking info
Get details for a specific driver
Get real-time tracking for a delivery
List Shippify deliveries
List all available delivery drivers
List all delivery routes
List available warehouses
Connect Shippify to Vercel AI SDK via MCP
Follow these steps to wire Shippify 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 Shippify MCP Server
Vercel AI SDK provides unique advantages when paired with Shippify 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 Shippify integration everywhere
Built-in streaming UI primitives let you display Shippify 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
Shippify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Shippify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Shippify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Shippify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Shippify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Shippify through natural language queries
Example Prompts for Shippify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Shippify immediately.
"List all my active deliveries in Shippify."
"Show me all active deliveries in progress with real-time tracking and driver assignments."
"Get a delivery quote for a same-day package from downtown to the airport district."
Troubleshooting Shippify MCP Server with Vercel AI SDK
Common issues when connecting Shippify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpShippify + Vercel AI SDK FAQ
Common questions about integrating Shippify 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.