Nutanix Launches MCP Server to Bring Secure Agentic AI Automation to Hybrid Cloud Operations

Nutanix has introduced a Model Context Protocol (MCP) server for the Nutanix Cloud Platform (NCP), giving enterprises a way to use AI agents and developer tools to automate hybrid-cloud operations while maintaining security, governance and operational control.

The open-source MCP server implements the Model Context Protocol and enables AI agents and development tools to interact with the Nutanix Cloud Platform through the Nutanix Prism v4 API. Nutanix said the new capability is designed to help IT teams accelerate routine cloud operations across complex hybrid environments without giving up visibility or control.

AI Agents Can Turn Natural Language Into Cloud Actions

Managing hybrid-cloud infrastructure traditionally requires significant technical expertise and tightly controlled access. Nutanix's new MCP server is designed to create a secure connection between AI assistants and the underlying infrastructure APIs.

The platform can work with AI tools including GitHub Copilot, Claude Code and Cursor, translating plain-English requests into specific infrastructure actions. Nutanix said the solution automatically enforces existing corporate security and access policies, allowing IT teams to automate routine tasks and create AI-driven operational workflows.

“By creating a secure gateway between AI tools and our platform, we are giving customers the confidence to safely use AI to operate and govern their hybrid cloud environments,” said Thomas Cornely, Executive Vice President, Product Management, Nutanix.

Governance and Human Oversight Built Into AI Operations

Nutanix said the MCP server builds on the Nutanix Prism v4 API Gateway, allowing connected AI tools to use the platform's existing governance and fine-grained access controls.

Instead of allowing autonomous systems to make unrestricted production changes, IT operators can use AI assistants to analyse system health, identify diagnostics and prepare automation workflows while retaining human-in-the-loop oversight.

The Prism v4 API Gateway handles execution, governance and security controls for the MCP server. The architecture includes granular role-based access control, traffic throttling and metering, detailed auditing and asynchronous task management.

Developers Can Build AI-Powered Automation Tools

The MCP server is also aimed at developers who want to create custom automation workflows.

Nutanix said AI coding assistants can use system blueprints to generate platform-ready scripts in languages and formats including Python, Go, Java, JavaScript, PowerShell, curl, REST and JSON. Developers can also configure security permissions through a single interface and build custom AI agents to automate Nutanix infrastructure.

Agentic AI Moves Toward Enterprise Production

Nutanix said enterprises across the Middle East and Africa are moving from AI experimentation toward production-scale adoption, increasing the need for secure and simplified infrastructure operations.

Ahmed Rashad, Sr. AI Specialist, Middle East & Africa at Nutanix, said agentic AI can turn natural-language intent into actionable workflows, but that adoption needs to be supported by governance, security and human oversight.

The MCP server is available for download from developers.nutanix.com and can be used with customers' own AI agents, according to the company.