Full-Stack Software Engineer

UPDATE Automox MCP Server 2.2 brings visual review, agentic Patch by Severity policy creation, and live capability discovery to endpoint operations. New release makes AI-assisted endpoint management more visual, trustworthy, and actionable for IT teams. July 07, 2026 11:45 ET | Source: Automox AUSTIN, TX, July 07, 2026 (GLOBE NEWSWIRE) - Automox, the cloud-native Autonomous Endpoint Management (AEM) platform, today released Automox MCP Server 2.2, adding interactive review surfaces, first-class Patch by Severity policy creation, and live capability discovery to its governed agentic interface for endpoint operations. The release advances Automox MCP beyond natural-language access alone, giving IT teams new ways to review, approve, and act on endpoint operations in context. "AI agents are only as useful as the platform coverage and governance behind them," said Jason Kikta, CTO at Automox. "MCP 2.2 gives IT teams a more visual, more trustworthy way to bring AI into endpoint operations, without giving up the control that enterprise IT requires." For IT teams already using Automox MCP, the impact is concrete. "An MCP server allows us to query live endpoint data using natural language, combine information in meaningful ways, and generate custom visualizations that go far beyond predefined dashboards. It provides an accurate picture of our environment and gives us the ability to answer the questions that matter most, including the ones we haven't yet thought to ask," said Clayton Williams, IT Project Manager, City of Beaumont, TX. Interactive in-host review surfaces. Supported MCP Apps-capable hosts can now render compliance posture, patch approval queues, policy blast-radius previews, remediation-apply reviews, and RBAC access-certification reviews directly inside the assistant experience. IT teams can review posture and pending decisions visually instead of parsing text output. Patch by Severity policy creation. Users can create Patch by Severity policies agentically, selecting any combination of Automox severity levels. Teams can move from natural-language intent to governed patch policy creation faster, without building the policy manually in the console first. Live capability discovery. The AI agent can now see live tool availability based on read-only mode, module filtering, credentials, and opt-in safety flags. Safety-gated tools surface the exact setting required to enable them, so IT teams know what's available and how to unlock what isn't. Structured fallback for unsupported hosts. Interactive surfaces render visually in supported hosts, while unsupported hosts receive the same information as clean, structured data. Customers do not lose functionality based on their MCP client. Automox MCP Server covers the published Automox Console and Webhooks APIs, excluding only secret-exposing operations by design. Customers get complete AI power tools for Automox rather than a narrow connector or a curated set of workflows. Automox MCP Server is available now through PyPI, the MCP Registry, and as a one-click Claude Desktop extension. For technical documentation, visit docs.automox.com. About Automox Automox is the cloud-native Autonomous Endpoint Management platform trusted by 3,000+ organizations to automate OS and third-party patching, device configuration, and policy enforcement across Windows, macOS, and Linux. Automox customers automate up to 96% more patches and achieve 362% ROI over three years (IDC, 2025).

Automox has released MCP Server 2.2, introducing visual review surfaces, automated patch policy creation, and live capability discovery to its endpoint management platform. The update enables IT teams to review compliance posture, patch approval queues, and policy previews directly within the assistant interface. The new version allows users to create Patch by Severity policies through natural language commands, selecting from Automox severity levels. The AI agent can now identify available tools based on permissions and safety settings, showing teams which features are accessible and how to enable restricted ones. "MCP 2.2 gives IT teams a more visual, more trustworthy way to bring AI into endpoint operations, without giving up the control that enterprise IT requires," said Jason Kikta, CTO at Automox. The platform serves 3,000 organisations worldwide, providing automated patching and device configuration across Windows, macOS, and Linux systems.

Automox stakes out "The Composition Point," a vision for how AI agents will reshape IT and security work. A new paper from Automox CTO Jason Kikta argues the future of enterprise software belongs to platforms agents can trust to act, not consoles with chatbots bolted on. June 23, 2026 09:00 ET | Source: Automox AUSTIN, TX, June 23, 2026 (GLOBE NEWSWIRE) - Automox, the IT operations platform for automated endpoint management, today published The Composition Point, a point-of-view paper laying out the company's vision for how AI agents are changing the way IT and security work gets done. The paper makes the case that the industry is preparing for the wrong shift, and that the vendors who win will be the ones who bring their capabilities to the user's preferred AI agent rather than trapping an agent inside their own console. The paper, authored by Automox Chief Technology Officer Jason Kikta, argues that the model layer of AI is commoditizing rather than concentrating, and that the real convergence is happening at what Kikta calls the composition point: the single place a person goes to start work that spans many systems. For two decades, that place was a vendor console. Increasingly, it is an AI agent that carries a user's memory, files, and authorized connections across every system they touch. "Everyone keeps asking which AI is going to win, as if the whole field is about to collapse into one model the way every gadget collapsed into the smartphone. That's the wrong question," said Kikta. "The work has already moved to the agent. The workflows haven't caught up. The scarce thing in this world isn't intelligence. It's action that can be trusted and verified." The paper identifies trusted action as the durable challenge of an agentic world. An AI agent that misreads a fact produces a wrong answer. An agent that believes it remediated thousands of endpoints when it did not produces an incident. Automox positions itself as the verified system of action for that world: a platform any agent can drive, with proof that each fix executed and landed. Automox built a Model Context Protocol (MCP) server before any competitor in its category, establishing the agent as a first-class way to consume the platform alongside the console and the API. MCP is an open standard backed by every major model vendor, which means capabilities exposed through it work with whatever AI agent a customer prefers, today and as that preference changes. "This is a bet on where our customers are actually going, not where it's convenient for us to keep them," said Justin Talerico, CEO of Automox. "The composition point belongs to the customer. Our job is to be trustworthy enough that they hand us the keys, wherever they choose to work." The full paper, The Composition Point, is available now on the Automox blog. Automox is the IT operations platform for modern organizations, automating the work of patching, configuring, and managing endpoints across Windows, macOS, and Linux from a single cloud-native platform. Automox helps IT and security teams reduce risk, cut manual effort, and prove that the work is done.