Nutanix has launched a new open-source Model Context Protocol (MCP) server for its Nutanix Cloud Platform (NCP), enabling enterprises to connect AI tools with cloud infrastructure while maintaining existing security, governance and access controls.
The MCP server connects AI agents and developer tools to NCP through the Nutanix Prism v4 API, allowing natural-language requests to be translated into infrastructure actions.
The launch is aimed at helping IT teams manage increasingly complex hybrid and multicloud environments through AI. Tools including GitHub Copilot, Claude Code and Cursor can interact with Nutanix infrastructure through the MCP server.
Nutanix said the MCP server provides a controlled layer between AI tools and enterprise infrastructure, ensuring that AI-driven operations remain subject to established governance and authorisation policies.
The server relies on the Nutanix Prism v4 API Gateway for execution, governance and security. Its capabilities include fine-grained role-based access controls, API throttling and metering, comprehensive auditing and asynchronous task management.
These controls allow IT teams to use AI assistants for activities such as analysing system health, identifying diagnostics and preparing automation workflows while retaining human oversight over critical infrastructure operations.
For developers, the MCP server can also generate platform-ready scripts in Python, Go, Java, JavaScript, PowerShell, curl and REST/JSON formats.
Nutanix said the MCP server is available as open-source software and can be integrated with customers’ own AI agents, providing enterprises with a way to introduce AI-driven cloud operations without removing existing security and governance mechanisms.
