AI Agents Can Now Monitor and Manage Networks Through New Domotz MCP Server
Multi-site network operations that previously necessitated tedious manual efforts can now run as a single prompt across every monitored network
Both humans and AI agents can now monitor and manage networks together through any MCP-compatible AI client, with no separate AI tier and no markup on AI service consumption. Domotz, the cloud-based network monitoring and management platform used to monitor more than 40,000 networks across 190 countries, today announced general availability of the Domotz MCP Server — a vendor-built, vendor-supported integration that delivers this capability. The launch arrives as IT teams, managed service providers, and AV integrators pilot AI agents to manage multi-site networks, while most network monitoring vendors have yet to ship a production-ready answer.
Model Context Protocol (MCP), the open standard for connecting AI agents to live systems, has rapidly become the way IT teams plan to bring agents into production workflows. Across the network monitoring category, vendor responses have largely fallen into three patterns: no MCP server at all, an embedded copilot locked inside the vendor’s own dashboard or an unofficial community wrapper without vendor support. The Domotz MCP Server exposes significant operational capability — troubleshooting, reporting, configuration, and remediation — to any MCP-compatible AI client the customer chooses.
“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. “The Domotz MCP Server makes those the same workflow with no new pricing tier and no new vendor to add.”
Through the MCP Server, technicians can use more than 50 MCP tools to query networks in plain language and create AI agents that can act on their behalf — investigating issues, creating alerts, attaching sensors, comparing configuration backups, and executing remediation actions, among others. The same prompt that investigates one network can investigate every network, helping IT teams extend the same level of attention to smaller sites that flagship accounts have always received.
“We are already seeing how AI can transform service delivery when it connects our professional services automation (PSA) and remote monitoring and management (RMM) workflows,” said Dan Spray, President and Founder of PrecisionIT. “What the Domotz MCP Server adds is the missing network operations layer. 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.”
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