Domotz Unlocks AI Co-Pilots for Network Management via Open Standard

DRAPER, Utah – May 28, 2026 – Network management firm Domotz today announced the general availability of its Domotz MCP Server, a new integration that allows both human technicians and artificial intelligence agents to collaboratively monitor and manage complex networks. The move is a significant step toward embedding AI into daily IT operations, offering the advanced capability at no additional cost to its customers and leveraging an open standard to avoid the vendor lock-in common with proprietary AI solutions.

The platform, used to monitor over 40,000 networks globally, is positioning itself at the forefront of the AIOps (AI for IT Operations) revolution. By integrating with the Model Context Protocol (MCP), an open standard for connecting AI agents to live systems, Domotz allows users to interact with their networks through any MCP-compatible client, including popular large language models like ChatGPT and Claude. This release arrives as many competitors have yet to deliver a production-ready answer for AI agent integration, often opting for closed, embedded copilots.

An AI Co-Pilot for Every Technician

For managed service providers (MSPs), internal IT teams, and AV integrators, the announcement signals a fundamental shift from manual, reactive troubleshooting to proactive, AI-assisted network operations. The Domotz MCP Server effectively provides an "AI co-pilot" that can understand plain-language commands to perform complex tasks across one or multiple networks simultaneously.

Using more than 50 MCP tools, a technician can now ask an AI agent to investigate performance issues, create new alerts, compare device configuration backups, attach sensors, or execute remediation scripts. A single prompt that investigates a Wi-Fi issue at one site can be scaled to run across an entire portfolio of managed networks, extending a level of detailed attention previously reserved for only the largest, highest-value accounts.

This capability promises to dramatically accelerate triage and resolution times. The potential for real-world efficiency gains was highlighted by Dan Spray, President and Founder of PrecisionIT, who is already exploring AI's impact on service delivery. “What the Domotz MCP Server adds is the missing network operations layer,” Spray said. “If a customer reports poor Wi-Fi connectivity, an AI agent can move from the ticket to Domotz, check access point health, signal quality, device status, and network conditions, and then recommend or initiate the right next step. That means faster triage, fewer manual checks, and a much clearer path from customer complaint to resolution.”

This shift aligns with the core promise of AIOps: automating routine tasks to free up skilled engineers for more strategic work. Research into AIOps adoption consistently shows that its greatest benefits lie in reducing mean time to resolution (MTTR), proactively identifying potential failures before they impact users, and providing deeper, correlated insights from vast pools of network data. By making these capabilities accessible through natural language, Domotz is lowering the barrier to entry for advanced network automation.

Breaking the AI Silo with Open Standards

Perhaps the most significant aspect of Domotz's announcement is its strategic commitment to open standards. While many technology vendors are rushing to build AI into their products, the common approach involves proprietary, walled-garden ecosystems that lock customers into a single vendor's AI stack. Domotz has chosen a different path by building its integration on the Model Context Protocol (MCP).

Introduced in late 2024, MCP is a vendor-neutral, open-source protocol designed to be a universal connector—often described as the "USB-C for AI"—for linking AI models with external tools and data sources. Its rapid adoption by major AI players like OpenAI and Google DeepMind, along with its growing support within developer communities, has established it as a credible standard for building interoperable AI applications. The IETF is even reviewing draft extensions to formally specify MCP's use in network equipment management, signaling its relevance to the industry.

By adopting MCP, Domotz allows customers to choose their preferred AI client, rather than being forced into a vendor-supplied copilot. This move directly addresses a long-standing pain point in network automation, where proprietary interfaces have historically created fragmentation and limited interoperability.

“Technology operators shouldn't have to choose between the tool that runs their network and the AI agents they want to operate it from,” said Raj Sabhlok, CEO of Domotz, in the company's announcement. “The Domotz MCP Server makes those the same workflow with no new pricing tier and no new vendor to add.”

This strategy contrasts sharply with the broader market, where many network monitoring providers offer either no clear AI agent integration or unofficial community-built wrappers that lack vendor support. By providing a vendor-built, vendor-supported MCP server, Domotz offers a robust, production-ready solution that embraces the open ecosystem, empowering users and preventing the creation of new AI silos.

A Disruptive Play in a Booming Market

Domotz's launch is timed perfectly to capitalize on the explosive growth of the AIOps market. Driven by the spiraling complexity of modern networks, the proliferation of IoT devices, and the rollout of 5G, the global AI in networks market was valued at over USD 8.6 billion in 2023 and is projected by analysts to grow at a compound annual growth rate of over 30% for the next decade. Organizations are desperate for tools that can help them automate operations, enhance security, and manage an overwhelming amount of data.

Within this high-growth environment, Domotz's pricing strategy is particularly disruptive. By including the powerful MCP Server integration at no additional cost for all customers, the company is forgoing a potentially lucrative new revenue stream in favor of a value-led growth strategy. This move serves several strategic purposes. First, it can accelerate adoption among its 3,600+ existing customers, embedding the new AI capabilities deeply into their workflows and increasing customer retention.

Second, it creates a powerful competitive differentiator. MSPs and IT departments evaluating new monitoring solutions will now weigh competitors' costly AI add-ons against Domotz's inclusive offering. This could exert significant pressure on other vendors to re-evaluate their own pricing models for AI-powered features.

Finally, this strategy enhances the overall value of the core Domotz subscription, justifying its price point and strengthening its appeal to new customers, especially small to medium-sized MSPs for whom every dollar of operational cost matters. By focusing on driving adoption and delivering value, Domotz is betting that a larger, more engaged user base will be more valuable in the long run than short-term revenue from an AI surcharge. The move positions the company not just as a technology provider, but as a strategic partner helping its customers navigate the transition to an AI-driven future in IT operations.