Local system monitoring MCP server that tracks CPU, memory, disk, and network resources. Identifies resource-hungry processes and enables AI-assisted performance diagnostics and process management.
dragogargo/mcp-sysmon is a Model Context Protocol (MCP) server that provides real-time local system monitoring capabilities. It enables AI assistants to monitor CPU usage, memory consumption, swap space, disk utilization, network activity, and running processes on your machine. The tool integrates with AI platforms to allow intelligent diagnostics of performance issues and automated process management.
This is an MCP server designed to work with compatible AI clients like Claude. Installation requires: 1) Cloning or downloading the repository from GitHub, 2) Installing Python dependencies (indicated by the 🐍 icon), 3) Configuring your AI client to connect to the MCP server, 4) The tool supports macOS (🍎), Linux (🐧), and home environments (🏠).
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