Automox MCP Server Introduces Visual Reviews and AI-Driven Patch Policy Creation

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Automox has launched version 2.2 of its Automox MCP Server, introducing interactive review interfaces, first-class Patch by Severity policy creation, and live capability discovery to its governed agentic framework for endpoint management.

Key Features in MCP Server 2.2

Interactive In-Host Review Interfaces

Hosts compatible with MCP Apps can now display compliance status, patch approval queues, policy blast-radius previews, remediation-apply reviews, and RBAC access-certification assessments directly within the assistant interface. IT teams can visually assess system posture and pending actions instead of interpreting text-based outputs.

Patch by Severity Policy Creation

Users can now generate Patch by Severity policies through the agent-based system, selecting any combination of Automox severity levels. This streamlines the transition from natural-language intent to governed patch policy creation, eliminating the need to manually construct policies in the console first.

Live Capability Discovery

The AI agent now identifies available tools in real time, considering read-only mode, module filtering, credentials, and opt-in safety flags. Safety-gated tools highlight the exact settings required to activate them, ensuring IT teams understand available resources and how to enable missing capabilities.

Structured Fallback for Unsupported Hosts

Interactive interfaces render visually on supported hosts, while unsupported systems receive structured data outputs. This ensures functionality remains consistent across all environments without compromising the MCP client’s capabilities.

Jason Kikta, CTO at Automox, emphasized that AI agents rely on robust platform coverage and governance. The MCP 2.2 release provides IT teams with a more intuitive and reliable approach to integrating AI into endpoint operations while maintaining the control essential for enterprise environments.

The Automox MCP Server supports the published Automox Console and Webhooks APIs, excluding operations that expose sensitive information by design. Customers gain full AI-driven tools for Automox, rather than limited connectors or curated workflows. The release underscores Automox’s commitment to enhancing endpoint management through AI integration, providing enterprises with greater transparency, control, and efficiency in patching and operational workflows.