InfrOS has unveiled its Model Context Protocol (MCP) Server, a new tool designed to enhance cloud infrastructure design and validation through AI integration. This development aims to assist engineering teams in making informed infrastructure decisions based on technical requirements, cost, and performance, moving beyond reliance solely on AI-generated code.
The MCP Server operates as part of InfrOS’s broader data infrastructure operating system, which focuses on optimizing cloud infrastructure management. This latest innovation integrates with AI-assisted workflows, allowing engineering teams to work with InfrOS via their preferred AI tools. The server supports both the creation of new infrastructure and the optimization of existing cloud environments.
Key features of the MCP Server include the ability for users to create and manage projects, update technical requirements, and assess missing information prior to starting architecture design. Teams can choose between building an architecture from scratch or using an existing organizational landing zone, with options to compare both approaches. The system offers architecture proposals detailing estimated monthly costs, quality ratings, and recommendations, along with analyses of individual infrastructure components.
Additionally, the platform supports Terraform generation and retrieval for proposed architectures. Users can request Infrastructure-as-Code files and track their generation process, later retrieving the completed files for development use. InfrOS also provides a ‘Prove Before Deploy’ feature that tests generated Terraform within a validation sandbox, ensuring feasibility and performance without affecting a customer’s production environment.
The MCP Server introduces administrative and security controls, allowing authorized administrators to manage infrastructure constraints and landing zones. Organizations with GitHub integration can perform read-only repository analyses to identify Terraform versions and other environment structures. OAuth authorization distinguishes between different levels of access, while users can monitor and manage connected AI assistants via their InfrOS profiles.
InfrOS emphasizes that the MCP Server does not automatically alter customer repositories, create pull requests, or deploy infrastructure into production environments. These actions remain under the control of engineering teams, maintaining a layer of oversight in the deployment process. The MCP Server is currently available in preview for eligible customers, with usage consuming organization credits.
About InfrOS
InfrOS is an IT Infrastructure Operating System that helps teams decide what to build, prove it before production, and evolve it confidently as conditions change. The platform gathers business and technical requirements, evaluates and compares architecture options, validates expected outcomes through benchmarking, simulation and emulation, and delivers reviewable production-ready infrastructure as code with FinOps and compliance guardrails. InfrOS continuously monitors infrastructure for drift and keeps workloads aligned as performance requirements, business priorities and cloud environments evolve. Cloud-agnostic by design, InfrOS supports Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure, including multi-cloud environments. Learn more at infros.io.
Sarah Thorson
Magnitude, Inc.
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