N-able launches MCP server and N-zo AI for UEM ops

N-able has launched a Model Context Protocol server and an in-product AI assistant for its Unified Endpoint Management platforms, N-central and N-sight.

The new MCP server is designed to connect external AI tools to live data inside N-able's endpoint management products. N-zo is built into those products to give technicians guidance within the software.

The launch adds two layers of AI to N-able's offering. One links third-party AI services such as Claude, ChatGPT and Copilot to operational data inside customer environments. The other helps users work inside N-central and N-sight without leaving the console.

N-able says the MCP server will let teams query live environment data and take controlled actions across systems in real time. It presents the product as an alternative to what it describes as rigid API integrations, manual processes and platform lock-in that still shape many IT and security workflows.

N-able's endpoint management products are used by managed service providers and internal IT teams to oversee devices, monitor systems, and respond to faults or security issues. By connecting AI tools directly to telemetry, asset data and operational context, the new server is intended to move AI from analysis into day-to-day operations.

Two approaches

N-zo takes a different route. Rather than linking external AI tools to N-able's systems, it sits inside the company's existing products and offers embedded assistance during routine work.

According to N-able, N-zo can generate executive and pre-meeting briefings, help identify root causes, suggest remediation steps, assess security exposure across devices, and surface relevant reports and guidance. Early feedback, it says, indicates it can deliver up to 70% faster IT operations.

The launch reflects a broader shift across enterprise software as vendors look for ways to make AI useful inside operational systems rather than limiting it to chat interfaces or reporting tools. For IT teams, the key question is whether these tools can reduce time spent switching between consoles, writing reports and escalating common support issues.

N-able's approach also speaks to a growing industry debate over how customers should use AI in operational technology stacks. Some suppliers are building proprietary assistants within their products, while others are exposing data to external models through standardised protocols. By releasing both an internal assistant and an MCP server, N-able is trying to address both approaches at once.

Operational focus

N-able says customers will be able to choose the AI models they want to use through the MCP server, balancing cost and performance requirements. The setup is also intended to align AI workflows with network operations centres, security operations centres and service delivery teams, while maintaining governed access to tenant, device and operational data.

That emphasis on control reflects a key concern for IT departments adopting AI tools. Access to live infrastructure data, and the ability to trigger actions across systems, can raise governance and security questions, especially in multi-tenant environments commonly used by service providers.

Nicole Reineke, Chief AI Officer, N-able, outlined the company's view: "IT and security teams are under constant pressure, managing more tools and more data with less time to act," she said. "The MCP server securely connects AI tools to live environments, turning AI from isolated insight into controlled, real-time action. N-zo complements that by embedding intelligence directly into N-central and N-sight as an in-product AI that understands the environments technicians manage, and accelerates resolution so teams can focus on proactive work instead of constant firefighting."

Customer response

One customer cited by N-able described immediate gains from the in-product assistant. "This is probably one of the best and quickest ways that I found value. I'm getting to skip support for a bunch of things. It's already saved me so much time," said Louis Oosthuizen, Software Engineer, Zhero.

N-able says its broader platform serves more than 500,000 organisations worldwide. The launch places the company among a growing group of cybersecurity and IT management suppliers trying to turn AI from a layer of advice into a tool that can play a more direct role in daily operations.