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Megaport Documentation
Overview
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Megaport MCP Server Overview

This topic provides an introduction to Megaport services, Model Context Protocol (MCP), and the Megaport MCP Server, aimed at users looking to get started using the Megaport MCP Server.

What is Megaport?

Megaport is a global Network as a Service (NaaS) provider that makes it easy to connect your network to cloud services such as AWS, Microsoft Azure, and Google Cloud without needing complex physical infrastructure.

It uses a software-defined network (SDN) to let you create scalable, secure, and on-demand virtual connections called Virtual Cross Connects (VXCs), between data centers, cloud providers, and enterprise networks. If you are new to Megaport, see Introducing Megaport.

What is MCP?

Model Context Protocol (MCP) is a universal, open-source standard designed to bridge the gap between AI models and external data or software.

Just as USB-C provides a standardized interface for connecting a wide range of devices, MCP offers a unified way for AI platforms (such as ChatGPT and Claude) to connect with databases, local files, and specialized workflows.

By streamlining these connections, MCP enables AI agents to retrieve live information and execute complex tasks across different systems without the need for custom, fragmented coding.

How a MCP Server works?

MCP servers don’t perform any ‘thinking’ themselves, nor do they contain AI. Instead, they act as a bridge, much like a USB port, that allows Large Language Models (LLMs) to execute API calls to external systems, such as the Megaport API. The server simply fetches the data and returns it in a format the AI can easily interpret.

LLM-based AIs are non-deterministic, meaning you will not receive the same response twice. It is also important to note that outputs vary depending on the provider, such as Claude, Codex, or Gemini, and the specific model version used, such as Claude 3.5 Sonnet, GPT-4o, or Gemini 1.5 Pro.

Due to this nature of LLM-based AIs, when using the Megaport MCP Server for network diagnostics, we recommend that you thoroughly review each response before applying changes to your live services. Test all configurations in the staging environment. For more information about the staging environment, see Testing Configurations in the Staging Environment.

What is Megaport MCP Server?

Megaport offers a comprehensive suite of public API endpoints designed to automate the provisioning, management, and monitoring of network infrastructure. Customers can leverage these capabilities to order and manage Megaport services through the Megaport Portal, Terraform, and direct API integrations.

To streamline the customer experience, Megaport introduces the Megaport MCP Server (currently read-only beta version), a specialized middleware layer that transforms public APIs into a standardized, authenticated, and searchable interface.

By exposing Megaport APIs through the MCP, the server enables AI coding assistants, such as Claude Code, Copilot CLI, Gemini CLI, Codex and others to query and manage Megaport infrastructure directly within the development environment.

Megaport MCP Server (Open Beta) capabilities

The Megaport MCP Server acts as a standardized middleware that exposes Megaport API functions to any MCP-compatible client. By simplifying the interface between your network and AI-driven tools, you can:

  • Interact via LLMs – Use your preferred AI assistant, such as ChatGPT, Claude, or Gemini to ask in natural language about service status, diagnose latency, or compare utilization. These are some example questions.

    • Show me all ports with utilization > 60%
    • Diagnose latency on a specific VXC using Looking Glass.
    • Compare last month’s utilization for all MCRs.

  • Autonomous agents – You can integrate the Megaport MCP Server with observability tools to automate diagnostics and validate connectivity in real-time.

  • Enhance developer workflows – You can connect the Megaport MCP Server directly to Integrated Development Environments (IDEs) such as VS Code and JetBrains, or to Slack bots and browser plugins, to allow engineers to manage bandwidth and check status without leaving their primary workspace.

Helpful references