Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your SafeCube API Key
- Start managing your maritime intelligence through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Supply Chain Analysts — monitor container movements and retrieve official metadata straight from your workflow.
- Logistics Managers — verify shipment statuses and audit delivery patterns without manual searching.
- Trade Researchers — perform rapid audits of port arrivals and identify relevant logistics markers through natural language.
- Operations Leads — automate maritime data querying to orchestrate cross-functional shipping teams smoothly.
Built-in capabilities (4)
Check if the SafeCube service is operational
Get real-time tracking data for a specific maritime container
Get a list of tracking events for a specific shipment ID
List all active shipments currently tracked in your SafeCube account
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and SafeCube Container Tracking tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SafeCube Container Tracking without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every SafeCube Container Tracking tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
SafeCube Container Tracking in Mastra AI
SafeCube Container Tracking and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SafeCube Container Tracking to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for SafeCube Container Tracking in Mastra AI
The SafeCube Container Tracking 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
SafeCube Container Tracking for Mastra AI
Every tool call from Mastra AI to the SafeCube Container Tracking MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my SafeCube API Key?
Log in to your SafeCube account, 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.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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