What is the Linux Profiler tool?

Linux Profiler is a comprehensive performance analysis tool for Linux systems, offering detailed monitoring of CPU, memory, disk, network, and processes, with unique remote invocation capabilities via Model Context Protocol (MCP).

What specific performance areas does Linux Profiler cover?

It covers CPU usage, memory and swap utilization, disk I/O, network traffic, and individual process resource consumption, including top N consumers and states, providing a holistic view.

How does Linux Profiler support remote monitoring?

It fully supports remote invocation via Model Context Protocol (MCP) using Streamable HTTP or SSE, allowing you to monitor distant Linux servers efficiently. Local STDIO mode is also available.

Can Linux Profiler help detect system health issues?

Yes, it performs automated system health checks to identify potential performance bottlenecks and issues, providing alerts and a summary of critical problems.

Linux Profiler

Name: Linux Profiler
Author: yuezhongtao

byyuezhongtao

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分析と監視

デプロイメントとDevOps

Provides comprehensive Linux performance analysis capabilities, supporting remote invocation via Model Context Protocol.

The Linux Profiler is a powerful and versatile performance analysis tool designed to monitor and diagnose the health and resource utilization of Linux systems. It delivers detailed insights across key areas such as CPU usage, memory consumption, disk I/O, network traffic, and individual process statistics. Beyond raw data collection, it includes an automated health check feature to proactively identify potential performance problems and issue alerts. Engineered with Model Context Protocol (MCP) support, the tool facilitates flexible local and remote invocation, making it an ideal component for integrating into broader monitoring infrastructures.

主な機能

01Comprehensive analysis of CPU, memory, disk, and network performance metrics

02Detailed monitoring of process resource utilization and states, including top N consumers

03Automated system health checks with identification of performance issues and alerts

04Supports local (STDIO) and remote (HTTP with Streamable/SSE) invocation modes

05Provides a suite of MCP tools for granular metric collection and system information retrieval

061 GitHub stars

ユースケース

01Monitoring the real-time performance and resource health of Linux servers

02Diagnosing and troubleshooting performance bottlenecks in production or development environments

03Integrating with Model Context Protocol (MCP) clients for centralized system monitoring and automation