How do I find my SafeCube API Key?

Log in to your [**SafeCube account**](https://app.safecube.ai/), navigate to the 'API' or 'Integrations' section in your dashboard, and generate a new Bearer Token. Copy and paste it below.

What container formats are supported?

The API supports standard 11-character BIC codes (e.g., TCNU1234567) used by global maritime shipping lines.

Can the agent show real-time ETAs?

Yes. The `get_container_tracking` tool retrieves the current Estimated Time of Arrival (ETA) metadata for specified containers.

SafeCube Container Tracking MCP Server for LangChain 4 tools — connect in under 2 minutes

Name: SafeCube Container Tracking
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect SafeCube Container Tracking through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "safecube-container-tracking": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using SafeCube Container Tracking, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with SafeCube Container Tracking through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the SafeCube Container Tracking MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 4 tools from SafeCube Container Tracking via MCP

Why Use LangChain with the SafeCube Container Tracking MCP Server

LangChain provides unique advantages when paired with SafeCube Container Tracking through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine SafeCube Container Tracking MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across SafeCube Container Tracking queries for multi-turn workflows

SafeCube Container Tracking + LangChain Use Cases

Practical scenarios where LangChain combined with the SafeCube Container Tracking MCP Server delivers measurable value.

RAG with live data: combine SafeCube Container Tracking tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query SafeCube Container Tracking, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain SafeCube Container Tracking tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every SafeCube Container Tracking tool call, measure latency, and optimize your agent's performance

SafeCube Container Tracking MCP Tools for LangChain (4)

These 4 tools become available when you connect SafeCube Container Tracking to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting SafeCube Container Tracking to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

SafeCube Container Tracking + LangChain FAQ

Common questions about integrating SafeCube Container Tracking MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.