AfterShip MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AfterShip 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 AfterShip, 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 AfterShip MCP Server
Connect AfterShip tracking platform to any AI agent and track packages from 1,000+ couriers worldwide, auto-detect shipping companies, and manage all your shipments through natural language.
The Vercel AI SDK gives every AfterShip tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Package Tracking — Create and monitor shipments from FedEx, UPS, DHL, USPS, and 1,000+ other couriers
- Auto-Detect Courier — Automatically identify the shipping company from just a tracking number
- Tracking History — View complete delivery history with checkpoint timestamps and locations
- Delivery Management — Mark trackings as completed, retrack expired ones, or delete old entries
- Customer Notifications — Set up email and SMS notifications for delivery updates
- Courier Directory — Browse all supported courier companies with their contact info and requirements
The AfterShip MCP Server exposes 9 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 AfterShip to Vercel AI SDK via MCP
Follow these steps to integrate the AfterShip 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 9 tools from AfterShip and passes them to the LLM
Why Use Vercel AI SDK with the AfterShip MCP Server
Vercel AI SDK provides unique advantages when paired with AfterShip 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 AfterShip integration everywhere
Built-in streaming UI primitives let you display AfterShip 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
AfterShip + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AfterShip MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AfterShip in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AfterShip tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AfterShip capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AfterShip through natural language queries
AfterShip MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect AfterShip to Vercel AI SDK via MCP:
create_tracking
Requires at least the tracking number. Optionally specify the courier slug, title, customer emails, SMS phone numbers, order ID, and custom fields. Create a new package tracking
delete_tracking
This action cannot be undone. Delete a tracking entry
detect_courier
Useful when the user provides a tracking number but doesn't know which courier it belongs to. Returns a ranked list of likely couriers. Auto-detect courier from tracking number
get_tracking
Get details of a specific tracking
list_couriers
) that can be used for tracking packages. List all supported courier companies
list_trackings
Supports extensive filtering by courier (slug), tag, keyword, origin, destination, date ranges, and delivery status. List all package trackings
mark_tracking_completed
Useful when the package has been delivered but the courier hasn't updated the final status. Mark a tracking as completed
retrack_tracking
This restarts monitoring and will fetch new checkpoint updates. Retrack an expired tracking
update_tracking
Does not affect the tracking number or courier. Update an existing tracking
Example Prompts for AfterShip in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AfterShip immediately.
"Track my package with tracking number 1Z999AA10123456784."
"What courier handles tracking number 9400111899223344556677?"
"Show me all my active trackings."
Troubleshooting AfterShip MCP Server with Vercel AI SDK
Common issues when connecting AfterShip to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAfterShip + Vercel AI SDK FAQ
Common questions about integrating AfterShip 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 AfterShip 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 AfterShip to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.