IPNetwork Monitor adds AI control to on-premise tools
Mon, 11th May 2026 (Today)
IPNetwork Monitor has released a new version of its network monitoring software with a built-in MCP Server, adding AI control to on-premise monitoring workflows.
The MCP Server exposes 33 tools that let AI assistants and developer agents manage monitoring tasks through natural-language commands. These cover create, read, update and delete functions for hosts, monitors, alerting rules and schedules, as well as status checks and historical trend analysis.
The software is aimed at small and medium-sized businesses that run monitoring systems on their own infrastructure rather than in the cloud. It is sold with a one-time licence starting at USD $199.
The release is designed for teams that want to use AI agents without giving them direct access to the monitoring console. According to IPNetwork Monitor, users can issue commands to add monitors, adjust alert thresholds and retrieve network trend data.
The system uses JSON-RPC over SSE and WebSocket connections and can run in air-gapped environments often used in higher-security settings.
On-premise focus
The product remains a Windows-based, self-hosted platform. It supports more than 40 monitoring protocols, including SNMP, WMI, PING, TCP, UDP, HTTPS checks, database polling across several database systems, mail server checks, system resource monitoring, bandwidth measurement and SSH script execution.
Automated discovery tools scan subnets to build device inventories, while more than 65 application templates are included for Windows and Linux servers, web services, databases and virtual machines. The dashboard includes real-time graphs, availability records and performance reports with drill-down views.
Remote Network Agents extend the software's reach to distributed locations, DMZ segments and customer sites without requiring direct access to targets. IPNetwork Monitor said this could suit managed service providers running multi-tenant environments, as well as organisations with isolated branch networks.
Alerting tools
The update also connects the MCP tools to the existing alerting system. Users can send notifications through more than 10 channels, including email, Android push, Telegram, Slack, SMS via GSM or CDMA modems, script triggers and SNMP SET.
Composite alerts can combine several conditions in a single rule, such as high CPU usage and low disk space. Reports and graphs can also be queried by AI agents as part of broader incident workflows.
The launch comes amid a broader push by software vendors to bring generative AI into IT operations. Across the monitoring and observability market, companies are trying to automate routine administration and incident response while addressing concerns about where operational data is stored and processed.
IPNetwork Monitor is positioning its approach around local deployment and data control. It says the model is intended for customers in regulated sectors, defence-related work and other environments where moving telemetry to external providers is restricted or undesirable.
Howard Clark, Software Engineer at IPNetwork Monitor, described the release as a way to combine AI assistance with local control of monitoring systems.
"MCP Server represents the future of on-premise operations: AI augmentation without compromise," Clark said. "Security-conscious teams finally get enterprise-grade monitoring with Claude/Grok integration, staying 100% in control of their data and destiny."
According to the company, early adopters reported 40% faster incident response and monitor deployment speeds three times higher through natural-language automation.