Bridging AI and Infrastructure: Introducing the Megaport MCP Server for Agentic Networking
- Ai and tools
- June 5, 2026
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Discover the Megaport MCP Server and how it enables AI-powered, agentic networking through natural language access to network infrastructure.
By Miwa Fujii, Community Manager - Terraform and Ryan Tucker, Solutions Architect
In the cloud networking era, we’ve moved from manual configurations in the Portal to Infrastructure as Code (IaC), Terraform. But the next frontier isn’t just code, it’s intelligence.
We are pleased to announce the release of the Megaport MCP Server (Open Beta). This marks a pivotal step in our journey to enable “Agentic Networking”, allowing AI agents to understand Megaport infrastructure through natural language.
The Megaport MCP Server is currently read-only. However, it will soon evolve to support integrated resource management and a carefully phased deployment strategy.
How does an MCP Server work?
The Model Context Protocol (MCP) Server is a bridge that connects Large Language Models (LLMs) to external systems like the Megaport API. The MCP Server provides tools for an LLM to use to interact with the API without customers having to build custom integrations.
What is the Megaport MCP Server?
Megaport provides a comprehensive suite of public APIs for automating the provisioning, management, and monitoring of network services. Customers can utilize these endpoints through the Megaport Portal, Terraform, or direct API integrations to manage their infrastructure efficiently.
To streamline the customer experience, Megaport MCP Server provides a middleware layer that transforms APIs into a standardized, searchable interface optimized for LLMs. This enables AI coding assistants like Claude, Copilot, and Gemini to query and manage Megaport infrastructure directly from the development environment, and the integration of Megaport services into agentic network monitoring and management platforms.
Why it matters: the rise of the agentic network
Most network engineers spend hours cross-referencing documentation, location IDs, connection endpoints and capacity, IPs and ASNs, and all the associated state and metric information. Agentic networking changes the workflow from doing to directing.
The Megaport MCP Server allows users to manage their network infrastructure through natural language via LLMs, such as Claude, ChatGPT, and Gemini. This enables real-time inquiries into service status, latency diagnostics, and utilization comparisons without requiring deep technical coding knowledge.
The Megaport MCP Server can be paired with observability tools for automated diagnostics or embedded into Integrated Development Environments (IDEs), such as VS Code and communication platforms like Slack. This ecosystem allows engineers to monitor bandwidth and validate connectivity seamlessly within their primary workspaces, significantly streamlining network management and troubleshooting.
Imagine prompting an AI agent:
“I need a 10 Gbps connection between my AWS instance in Ashburn and my private data center in Tokyo. I want to use an MCR and make sure it’s redundant. Suggest locations and required costs to achieve this goal.”
With the Megaport MCP Server, the AI doesn’t just guess the commands. It looks up the Ashburn and Tokyo PoPs, identifies the correct Megaport MCR locations, their cost, and provides you with the required information.
You might also spend some time doing network diagnosis. You can ask a question like:
“Why is the Port in Brisbane not passing any data via the attached VXC to Azure?”
Suggestions from the Megaport MCP Server can help you resolve issues more quickly. The MCP Server also enables Megaport services to integrate with agentic network platforms alongside your other infrastructure, combining data from multiple systems to accelerate troubleshooting and optimization across entire environments.
Collaboration with Megaport Solution Architects (SAs) and Technical Account Managers (TAMs)
This release isn’t just about the new technical tool, but it is also about the people. This is a major step in enhancing collaboration among Megaport’s customers, Megaport’s Solution Architects, and Technical Account Managers.
By equipping our SAs, TAMs, and customers with AI-augmented tools, we are reducing the “time-to-topology” from hours to seconds.
Get started today
The Megaport MCP Server documentation is now live and ready to explore. Whether you’re a DevOps engineer looking to automate your workflow or a network architect curious about the future of AI in infrastructure, the Megaport MCP Server is your gateway.
