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Easyship MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

main();
Easyship
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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 Easyship MCP Server

Integrate Easyship, the leading global shipping platform for e-commerce, directly into your AI workflow. Manage your cross-border shipments and carrier rates, track packages in real-time with detailed checkpoint logs, monitor available couriers and their service levels, and oversee your logistics operations using natural language.

The Vercel AI SDK gives every Easyship tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Shipment Oversight — List and retrieve detailed information and real-time status for all your global logistics shipments.
  • Rate Intelligence — Request instant shipping quotes and estimated delivery times for various couriers based on parcel details.
  • Tracking Monitoring — Monitor active shipments, resolving real-time transit statuses, courier events, and delivery receipts.
  • Carrier Management — Access and monitor all available couriers and their specific service capability boundaries.

The Easyship MCP Server exposes 10 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 Easyship to Vercel AI SDK via MCP

Follow these steps to integrate the Easyship 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 10 tools from Easyship and passes them to the LLM

Why Use Vercel AI SDK with the Easyship MCP Server

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

03

Built-in streaming UI primitives let you display Easyship 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

Easyship + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Easyship MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Easyship to Vercel AI SDK via MCP:

01

get_easyship_account_metadata

Retrieve metadata and limits for your Easyship account

02

get_shipment_details

Get detailed information and tracking for a specific shipment

03

get_shipping_rates

Request shipping rates for a potential shipment

04

list_available_couriers

List all available couriers and their service capability boundaries

05

list_failed_deliveries

Identify shipments that have failed delivery or encountered issues (mock logic)

06

list_in_transit_shipments

Identify shipments that are currently in transit with a courier

07

list_latest_shipments

Identify the most recently created or updated shipments

08

list_logistics_shipments

List all shipments in your Easyship account

09

quick_shipping_volume_audit

Retrieve a high-level summary of shipment activity and success rates

10

search_shipments_by_reference

Search for shipments using a reference ID or keyword

Example Prompts for Easyship in Vercel AI SDK

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

01

"List the most recent global shipments."

02

"Get shipping rates from USA to France for a 1kg parcel."

03

"Check the status of shipment 'ES-12345678'."

Troubleshooting Easyship MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Easyship + Vercel AI SDK FAQ

Common questions about integrating Easyship 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 Easyship to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.