SafeCube Container Tracking MCP Server for VS Code Copilot 4 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"safecube-container-tracking": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}* 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.
GitHub Copilot Agent mode brings SafeCube Container Tracking data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 4 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the SafeCube Container Tracking MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using SafeCube Container Tracking
Ask Copilot: "Using SafeCube Container Tracking, help me...". 4 tools available
Why Use VS Code Copilot with the SafeCube Container Tracking MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with SafeCube Container Tracking through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
SafeCube Container Tracking + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the SafeCube Container Tracking MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
SafeCube Container Tracking MCP Tools for VS Code Copilot (4)
These 4 tools become available when you connect SafeCube Container Tracking to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting SafeCube Container Tracking to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
SafeCube Container Tracking + VS Code Copilot FAQ
Common questions about integrating SafeCube Container Tracking MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect SafeCube Container Tracking with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect SafeCube Container Tracking to VS Code Copilot
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
