"Resources for Learning Linux" matching MCP servers:

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A minimal FastMCP server providing demo tools for arithmetic operations and dice rolls, designed for learning MCP wiring with Claude Desktop or other MCP clients.

A learning-focused MCP server that provides tools for current time, arithmetic, random quotes, mock weather, and UUID generation, demonstrating the Model Context Protocol end-to-end.

Self-hosted Linux administration over MCP: 38 tools for processes, disks, network, systemd, journal and files, served over HTTPS. Each call runs as the caller's own OS user; root is granted per tool, limited to paths, networks and sysctl keys.

Enables AI agents to interact with the Linux desktop through desktop notifications, interactive dialogs, shell command execution, and privileged command execution.

Give Claude Desktop full desktop control on Linux/X11: screenshot, mouse, keyboard, windows, clipboard, app launch. Zero-dependency MCP extension, MIT-licensed.

Provides safe Linux desktop automation for Codex through focused MCP tools for inspecting, clicking, typing, dragging, and verifying native applications on Wayland and X11.

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 standalone MCP server for Linux desktop control, enabling screenshots, mouse/keyboard input, app/window management, and clipboard access via a Python bridge.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

Provides educational tools for developers to learn programming concepts, review code, get best practices, compare approaches, generate learning paths, debug, explain code, and quiz themselves.

Linux system administration via AI agents — MCP server for managing services, processes, disk, network and logs on Linux systems.

A small Model Context Protocol (MCP) server that gives an AI a personal notes/todo store. Built for learning.

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

A minimal NitroStack starter template with a calculator module including tools, resources, and prompts for learning MCP server fundamentals.

Enables AI assistants to search TryHackMe rooms and extract room overviews, task instructions, commands, and questions as clean Markdown for training and reference. Supports session-cookie authentication for subscriber content and includes curated foundational cybersecurity and Linux learning tracks.

Enables AI assistants to perform controlled Linux system administration tasks like reading logs, managing services, cron jobs, WordPress, and executing sandboxed Python code, with strict security constraints.

Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.

Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.