Nutanix, known for its innovative approach to hybrid cloud solutions, has revealed its Model Context Protocol (MCP) server tailored for the Nutanix Cloud Platform (NCP). This initiative is set to heighten the secure utilisation of AI tools, allowing customers to streamline their cloud operations effectively. The open-source MCP server facilitates interaction between AI agents, developer tools, and NCP via the Nutanix Prism v4 API.
With the MCP server launch, Nutanix users are now poised to craft agentic AI applications, leveraging an advanced tools layer to enhance secure operations on NCP. This development is transformative for IT teams, enabling faster daily operations management across expansive hybrid and multicloud settings, while still maintaining comprehensive oversight and control.
Enhancing security and efficiency
Managing contemporary hybrid multicloud environments traditionally demands significant technical expertise and stringent access restrictions. While AI assistants can reduce the time taken for system management, it's crucial for enterprises to ensure that AI-driven actions are both safe and authorised.
The MCP server's capabilities extend to handling execution, security, and governance through
The new MCP server for NCP addresses these needs by serving as a protected intermediary between AI assistants—such as GitHub Copilot, Claude Code, and Cursor—and complex infrastructure API actions within a hybrid multicloud context. This solution effectively converts everyday language commands into precise, secure system operations, upholding existing corporate security and access protocols.
Automation through secure AI passage
Thomas Cornely, executive vice president of Product Management at Nutanix, remarked, “Nutanix has a long history of using automation to simplify complex cloud operations. The MCP server is an exciting next step on our journey, allowing us to bring the power of autonomous AI agents to cloud management. 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 multicloud environments.”
Securing enterprise AI operations
At the heart of this security innovation is the Nutanix Prism V4 API Gateway, which underpins the MCP server's robust governance and access control features. This ensures that IT teams can safely employ AI assistants for system diagnostics and workflow automation while integrating 'human-in-the-loop' oversight. The MCP server's capabilities extend to handling execution, security, and governance through:
- Fine-Grained Role-Based Access Control (RBAC) ensuring agents operate only within authorised APIs.
- Throttling and Metering to manage traffic and prevent excessive agent activity.
- Comprehensive Auditing for maintaining command accountability and transparency.
- Asynchronous Task Management to efficiently process long-running operations.
Developer enablement and customisation
For developers, the MCP server accelerates the creation of automation tools, offering AI coding assistants detailed system blueprints.
This enables prompt generation of platform-ready scripts in various languages such as Python, Go, Java, JavaScript, PowerShell, and formats like REST and JSON. Development teams can manage precise security permissions through a unified interface or craft custom AI agents to oversee and automate their Nutanix infrastructure comprehensively.
Nutanix, a pioneer in hybrid cloud, announces the Model Context Protocol (MCP) server for Nutanix Cloud Platform (NCP), enabling customers to safely use AI tools to automate their daily cloud operations. The MCP server for NCP is an open-source software that implements the Model Context Protocol specification and enables AI agents and developer tools to interact with NCP through the Nutanix Prism v4 API.
With the launch of its MCP server, Nutanix customers can build agentic AI applications that have access to a robust tools layer to power secure actions on NCP, empowering IT teams to speed up daily operations across large hybrid multicloud environments without losing visibility or control.
Deep technical expertise
Operating modern hybrid multicloud environments traditionally depends on deep technical expertise and strict access controls. Although AI assistants can drastically speed up how these systems are managed, enterprises need the certainty that AI actions are safe and authorised. This level of security is necessary for everyday operations, from executing major system upgrades to tracking network performance across the entire business.
The new MCP Server for NCP solves these challenges by acting as a secure passthrough between AI assistants, such as GitHub Copilot, Claude Code, and Cursor to safely translate plain-English requests into precise infrastructure API actions for an organisation's hybrid multicloud environment. The solution translates everyday language requests into precise, safe system actions while automatically enforcing existing corporate security and access policies. By creating a dedicated safety passthrough around AI tools, the solution allows IT teams to confidently automate routine operations and build custom AI-driven workflows.
Complex cloud operations
“Nutanix has a long history of using automation to simplify complex cloud operations. The MCP server is an exciting next step on our journey, allowing us to bring the power of autonomous AI agents to cloud management,” said Thomas Cornely, executive vice president, Product Management, Nutanix. “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 multicloud environments.”
Enterprise AI tools are only as secure as the platform APIs powering them. The MCP server addresses this reality by building directly on the Nutanix Prism V4 API Gateway, allowing connected AI tools to inherit the native governance and fine-grained access controls of NCP. Rather than risking unassisted changes to production environments, IT operators can safely use AI assistants to analyse system health, surface diagnostics, and accurately stage automation workflows while maintaining operator oversight through 'human-in-the-loop' capabilities.
Enterprise AI operations
The Nutanix Prism V4 API Gateway strictly handles all execution, governance, and security controls, enabling the MCP Server to provide a highly secure and predictable environment for enterprise AI operations. It is designed to support:
- Fine-Grained Role-Based Access Control (RBAC): Confines autonomous agents to executing calls only on specific APIs for which they have been granted explicit, granular authorisation.
- Throttling and Metering: Implements built-in traffic regulation to help prevent agent swarm attacks while natively tracking API usage across automated workflows.
- Comprehensive Auditing: Generates detailed system logs to maintain visibility into which AI agent initiated which specific command.
- Asynchronous Task Management: Offloads long-running operations as asynchronous tasks, allowing autonomous agents to efficiently track progress and execution status until completion.
For developers, the MCP server makes building automation tools faster and more intuitive. By giving AI coding assistants exact system blueprints up front, developers can instantly generate platform-ready scripts in their preferred languages – including Python, Go, Java, JavaScript, PowerShell, curl, or any REST and JSON-compatible format. This allows teams to easily configure precise security permissions through a single interface, or build their own custom AI agents to automate and govern their Nutanix infrastructure from end to end.
