Ipnetwork Monitor Launches MCP Server To Connect Monitoring Workflows With AI Agents

(MENAFN- Market Press Release) April 13, 2026 10:37 am - IPNetwork Monitor released new version with a built-in MCP Server that allows to manage IT monitoring infrastructure using natural language commands instead of traditional point-and-click configuration.

IPNetwork Monitor LLC announces the release of a new version of IPNetwork Monitor, its reliable network and server monitoring software, now featuring a built-in MCP Server that brings AI-driven automation directly into on?premises monitoring environments. The new release is aimed at IT, DevOps, and SRE teams who want to accelerate routine monitoring tasks with AI while keeping full ownership and control of their infrastructure data.

The built-in MCP Server connects IPNetwork Monitor to compatible AI assistants and IDE agents, including tools such as ChatGPT, Claude Code, and Cursor, through a secure local endpoint configured in the Monitoring Client GUI. Once the MCP Server is enabled and an access token is generated, AI clients can use natural-language commands to work with the live monitoring configuration. With 33 MCP tools available at launch, administrators can create and organize hosts and host groups, add or modify monitors, configure composite alert rules, manage notification schedules, adjust credentials, and inspect current states or historical trends-all without leaving their AI assistant or development environment. This approach allows teams to embed monitoring management into existing chat-driven workflows, tickets, and automation scripts.

In addition to AI integration, the release delivers quality, performance, and security improvements across the platform. Updates cover the Monitoring Service, Monitoring Client, installer, and bundled third-party components to ensure a stable and secure deployment experience. Issues affecting alert re-enabling behavior and HTML email reports have been resolved, and log preservation during upgrades has been improved to make troubleshooting easier. Core dependencies such as Apache HTTP Server, OpenSSL, curl, and the embedded Python interpreter have been upgraded to recent stable versions, strengthening security and long-term maintainability of installations.

IPNetwork Monitor is a cost-effective, self-hosted monitoring solution designed for organizations that prefer to keep monitoring data, credentials, and topology information on their own infrastructure. The software supports a wide range of monitoring protocols and techniques covering servers, workstations, network devices, and web applications, and it scales from small private networks to large distributed environments using Remote Network Agents. Flexible alerting supports several notification methods to keep administrators informed about the availability and performance of critical services, while dashboards, reports, and graphs are available through a web interface for quick analysis.

IPNetwork Monitor is available for Windows, with commercial licenses starting from $199 for the Basic 200 edition and scaling up to the Enterprise edition with an unlimited number of monitors. A permanently free tier supporting up to 50 monitors allows teams to evaluate the product, explore the new MCP-based AI automation features, and start consolidating monitoring tasks into their existing AI workflows before committing to larger deployments.

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