mcp-monitorThis server gives AI assistants real-time access to your local system stats using tools for CPU load, memory, disk space, network traffic, and active programs. Connect it to your favorite AI app to qu

MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information. It provides monitoring capabilities for CPU, memory, disk, network, host, and process information. The tool offers various features, including CPU usage percentage, core count, and detailed CPU info; virtual and swap memory usage; disk usage, partitions, and I/O statistics; network interfaces, connections, and traffic statistics; system details, uptime, boot time, and users; and process listing, sorting, and detailed per-process statistics. MCP System Monitor is implemented in Go and is compatible with MCP-compatible LLM clients. The tool can be built and run using the provided Makefile and binary. Its primary function is to provide LLMs with real-time access to local system stats, making it useful for AI assistants that require system information to perform tasks.