How to Use the SafeCube Container Tracking MCP in Mastra AI

Automate complex maritime workflows with Mastra AI and SafeCube Container Tracking.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect SafeCube Container Tracking MCP to Mastra AI

Create your Vinkius account to connect SafeCube Container Tracking to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup SafeCube Container Tracking with Mastra AI

Ask AI about this MCP

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Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automated shipment event tracking

Trigger `get_shipment_events` within your Mastra agents to handle cargo updates. Your workflow manages the logic for what happens when a container misses a port. This lets you build conditional branches based on real-world events. You stop manual polling and start managing by exception.

Active shipment management in Mastra AI

Use `list_active_shipments` to pull your entire fleet status into the agent's memory. The agent can then iterate through each shipment to identify delays automatically. This is how you scale your logistics oversight. You build one agent that monitors hundreds of containers without human input.

Reliable API state checks

Incorporate `check_api_status` into your Mastra workflows to ensure service availability. If the server is offline, your agent can pause the task or alert an admin. This prevents your agent from acting on null data. You keep your automated pipelines running even when network conditions change.

Setup guide

Set up SafeCube Container Tracking MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All SafeCube Container Tracking tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "safecube-container-tracking-mcp-client",
  servers: {
    "safecube-container-tracking-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "SafeCube Container Tracking Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to SafeCube Container Tracking tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent SafeCube Container Tracking transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SafeCube. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about SafeCube Container Tracking MCP in Mastra AI

Add the server to your client configuration and spread the tools into your agent definition. It handles the transport and tool execution for you.

Yes, you can enable human-in-the-loop requirements for any tool call. This ensures a human verifies the action before the agent moves a shipment record.

Mastra handles retries automatically with exponential backoff. If a network blip hits the tracking API, the agent waits and tries again.

You initialize the client with your endpoint token in the server config. The connection is ephemeral and handled within your secure infrastructure.

The server only touches container IDs and transit event logs. Your proprietary customer data never leaves your environment, and all traffic is encrypted.

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