"Linux" matching MCP servers:

A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.

A comprehensive Linux system performance profiler with MCP remote invocation support, featuring advanced process profiling and flame graph generation.

Enables AI assistants to read and analyze Linux system logs—including systemd journal, syslog, kernel, application, and Docker container logs—for diagnostics and predictive analysis.

SSH Linux metrics, baselines, anomaly detection, and plain-English infrastructure explanations.

Enables Linux infrastructure diagnostics and monitoring through MCP, providing tools for host, Nginx, Docker, and PostgreSQL with security and context correlation features.

Enables AI clients like Claude to triage, investigate, and operate Icinga installations through natural language, integrating with Icinga's REST APIs and providing deep awareness of monitoring plugins and historical performance data.

Read-only systemd inspection for Claude on Linux — list units, status, journal, failed units, unit files.

Enables read-only observability of a Linux host via MCP, exposing allowlisted systemd, docker, nginx, logs, disk, and cert info without shell access.

See what's on your ports, then act on it. Diagnostic-first port viewer for Linux, MacOS and Windows.

Enables read-only system diagnostics on approved Linux hosts over SSH, with allowlisted commands, bounded output, and secure log access.

Enables AI agents to diagnose Linux server incidents by collecting and structuring system diagnostics from multiple servers via SSH, with tools for finding incident clusters, gathering context (memory, CPU, swap, etc.), and running arbitrary commands.

Enables agents to autonomously diagnose Linux performance issues by exposing production-debugging primitives such as perf, strace, /proc, flamegraphs, and eBPF as safe, structured, budgeted tools.

Enables AI clients to access real-time system information such as memory and swap usage from a Linux machine via MCP tools.

Enables remote log collection from Linux machines via HTTP/HTTPS, allowing clients like Claude Desktop to access and analyze system logs securely.

Enables LLMs to safely write and run bpftrace scripts against the Linux kernel for observability, with explicit probe allowlists and execution timeout.

Read-only AMD GPU monitoring for Claude on Linux — VRAM, temperature, clocks, power, and running ML processes via rocm-smi.

Enables AI assistants to monitor and manage Linux infrastructure including services, logs, processes, disk, memory, ports, cron, nginx, Docker, and system health checks via the Model Context Protocol.

MCP server — read-only log access for AI assistants. Debug your Linux server with AI, without giving the AI shell access.

Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.

Enables MCP-capable LLM clients to perform read-only Linux system observation and OS algorithm experiments by exposing typed tools for memory, filesystem, process, and CPU scheduling data with controlled, safe boundaries.