Nutanix brings agentic AI automation to hybrid multi-cloud environments

Nutanix has launched an open-source Model Context Protocol (MCP) server for Nutanix Cloud Platform, enabling enterprises to use AI assistants and agents to automate cloud operations through natural-language commands while retaining existing security and governance controls.

The MCP server connects AI tools such as GitHub Co-pilot, Claude Code and Cursor with Nutanix Cloud Platform through the Prism v4 API, translating plain-English requests into infrastructure actions. The approach is designed to help IT teams automate routine operations across hybrid mult-icloud environments without sacrificing visibility or operator oversight.

The MCP server operates as a secure gateway between AI tools and the Nutanix platform. Because execution is handled through the Prism v4 API Gateway, connected AI tools can inherit Nutanix’s existing access controls and governance mechanisms. Teams can use AI to analyse system health, surface diagnostics and stage automation workflows while retaining human-in-the-loop controls.

Key capabilities include fine-grained role-based access control, throttling and API metering, comprehensive auditing and asynchronous task management. These controls allow organisations to restrict AI agents to authorised APIs, monitor usage, prevent excessive automated traffic and track which agent initiated a particular command.

For developers, the MCP server can also provide AI coding assistants with system blueprints to generate infrastructure scripts in languages and formats including Python, Go, Java, JavaScript, PowerShell, curl, REST and JSON.

“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 multi-cloud environments,” said Thomas Cornely, Executive Vice President, Product Management, Nutanix.

The launch represents Nutanix’s move to extend its existing cloud automation capabilities into agentic AI, allowing enterprises to build custom AI-driven workflows while keeping infrastructure execution subject to established security, access and governance policies.

AIautomationMulti CloudNutanix
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