SafeCube Container Tracking MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SafeCube Container Tracking 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 SafeCube Container Tracking, 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 SafeCube Container Tracking MCP Server
Empower your AI agent to orchestrate your entire maritime logistics and container auditing workflow with SafeCube, the comprehensive source for real-time shipment data. By connecting the SafeCube API to your agent, you transform complex tracking searches into a natural conversation. Your agent can instantly retrieve container positions, audit active shipment statuses, and query historical tracking events without you ever touching a logistics dashboard. Whether you are managing supply chain visibility or monitoring regional port delays, your agent acts as a real-time maritime consultant, ensuring your data is always precise and up-to-the-minute.
The Vercel AI SDK gives every SafeCube Container Tracking tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Container Auditing — Retrieve high-resolution tracking details for any maritime container by number, including status and vessel metadata.
- Shipment Oversight — Audit all active shipments in your account to maintain a clear view of global logistics and scale.
- Event Discovery — Retrieve detailed tracking events for specific shipment IDs to understand the temporal distribution of logistics milestones instantly.
- Logistics Intelligence — Query real-time ETA and position markers to assist in deep-dive supply chain classification.
- Operational Monitoring — Check API status to ensure your maritime tracking workflow is always operational.
The SafeCube Container Tracking MCP Server exposes 4 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 SafeCube Container Tracking to Vercel AI SDK via MCP
Follow these steps to integrate the SafeCube Container Tracking 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 4 tools from SafeCube Container Tracking and passes them to the LLM
Why Use Vercel AI SDK with the SafeCube Container Tracking MCP Server
Vercel AI SDK provides unique advantages when paired with SafeCube Container Tracking 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 SafeCube Container Tracking integration everywhere
Built-in streaming UI primitives let you display SafeCube Container Tracking 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
SafeCube Container Tracking + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SafeCube Container Tracking MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SafeCube Container Tracking in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SafeCube Container Tracking tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SafeCube Container Tracking capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SafeCube Container Tracking through natural language queries
SafeCube Container Tracking MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect SafeCube Container Tracking to Vercel AI SDK via MCP:
check_api_status
Check if the SafeCube service is operational
get_container_tracking
Get real-time tracking data for a specific maritime container
get_shipment_events
Get a list of tracking events for a specific shipment ID
list_active_shipments
List all active shipments currently tracked in your SafeCube account
Example Prompts for SafeCube Container Tracking in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SafeCube Container Tracking immediately.
"Track container 'TCNU1234567' using SafeCube."
"List all my active shipments."
"What are the latest events for shipment ID 'SHIP-123'?"
Troubleshooting SafeCube Container Tracking MCP Server with Vercel AI SDK
Common issues when connecting SafeCube Container Tracking to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSafeCube Container Tracking + Vercel AI SDK FAQ
Common questions about integrating SafeCube Container Tracking 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 SafeCube Container Tracking 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 SafeCube Container Tracking to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.