MCP System Health Monitoring is a real-time health and performance monitoring solution built on the Multi-Channel Protocol (MCP) framework. It provides comprehensive metrics for remote Linux servers, collecting data via SSH about CPU usage, memory utilization, disk space, network statistics, and security-related metrics. The system supports multi-server monitoring from a single MCP instance, enabling centralized visibility and management. It features threshold-based alerts to automatically detect critical conditions, and includes SSH connection management with efficient pooling and reuse. Security considerations are emphasized through monitoring of failed login attempts, suspicious processes, and security updates. The MCP integration enables interaction with AI assistants (e.g., Claude) for querying health data and receiving insights through MCP. Configuration is per-server via a JSON config (hostname, IP, SSH port, username, and credentials such as password or key_path), and there is an optional launcher to dynamically create configurations. The solution exposes a set of tools (system_status, cpu_metrics, memory_metrics, disk_metrics, network_metrics, security_metrics, process_list, system_alerts, health_summary) to retrieve targeted health information and alerts—useful for real-time operations and automation.