SuperAPI AI Directory

mcp-monitor

Real-time system metrics: CPU, memory, disk, network, host and process information.

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About this tool

MCP System Monitor is a system monitoring tool that exposes system metrics through the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information through an MCP-compatible interface.

Purpose: This tool is used to provide system monitoring data to LLM clients through an MCP interface, allowing language models to read real-time system status.

Main capabilities: The tool provides six categories of monitoring capabilities. CPU information includes usage percentage, number of cores, and detailed CPU information; memory information includes virtual memory and swap memory usage; disk information includes disk usage, partitions, and I/O statistics; network information includes network interfaces, connections, and traffic statistics; host information includes system details, uptime, boot time, and users; process information includes process lists, sorting, and detailed statistics for each process. The available tools cover the six categories of information above.

Usage: Run the compiled binary file; the server starts in stdio mode and is ready to communicate with MCP-compatible LLM clients.

Applicable scenarios: Suitable for scenarios that require enabling LLMs to obtain real-time system metrics, such as querying system status through an MCP client.

Limitations: The provided materials do not specify installation steps, dependency requirements, supported operating systems, configuration options, or specific command parameters; this content is not yet provided.