"Alpine Linux" matching MCP servers:

Provides the complete Alpine.js documentation as resources, enabling AI assistants to accurately reference directives, magics, globals, and plugins.

MCP server for Apple container to manage, build, inspect, and diagnose Linux containers on macOS directly from AI agents.

Enables AI assistants to interact with native Linux desktop applications through AT-SPI2 accessibility interfaces. Provides semantic element targeting, natural language search, and automation capabilities (clicking, typing, keyboard shortcuts) across GTK, Qt, and Electron applications.

This MCP server provides read-only Linux system diagnostics tools for inspecting system information, processes, and log snapshots. It enables AI models to analyze Linux system health, troubleshoot issues, and review security through workflow prompts and HTTP transport with API key authentication.

Governed development control plane for VedaOps projects, letting authorized agents inspect, search, patch, test, lint, and coordinate registered software without exposing a general shell.

Enables management of Windows servers from Linux through an MCP server with per-user installation. Provides tools to control Windows systems via API with secure credential management.

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

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

Provides tools for reading and writing system clipboard data across Linux, macOS, Windows, and WSL platforms.

Turns Claude Code into an interactive OpenWiFi triage assistant, providing tools for searching Linux wireless patches, Jira tickets, running LLM-based triage, backporting, and building OpenWiFi.

Godot 4 MCP server with: Test running (GUT/GdUnit4) with structured pass/fail results API docs search with 30+ Godot 3→4 migration mappings Script analysis detecting 10 common GDScript pitfalls Scene/resource file parsing with antipattern detection Viewport screenshot capture LSP diagnostics from Godot's language server TypeScript, cross-platform (macOS/Windows/Linux), published on npm

Provides automatic desktop notifications and contextual sounds for Claude Code operations across macOS, Windows, and Linux. It enhances the development experience by intelligently mapping specific event types to native system alerts and sounds.

OS keychain secrets for AI coding agents, over MCP. Anchors credentials to the native vault (macOS Keychain, Linux Secret Service, Windows Credential Vault) and exposes them through 44 policy-governed tools: per-environment values, TTL, linked rotation, encrypted transfer bundles, redacted exec, and a tamper-evident audit log. Local-first, no cloud account.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Bridges VS Code on Windows with remote Linux servers via SSH, enabling AI assistants to interact with remote development environments.

A Python-based MCP server for interactive PostgreSQL data exploration, schema discovery, and safe SQL execution with support for stored procedures. It also enables automation through external HTTP API requests and local bash script execution on Fedora and Linux systems.

Enables opening files, folders, and URLs across different operating systems with special support for Linux Flatpak Firefox installations, handling filesystem sandboxing restrictions automatically.

Enables users to search and retrieve package repository information from Repology through natural language. Supports searching projects, getting detailed package information, and checking repository problems across multiple Linux distributions and package managers.

Exposes Linux filesystem operations as tools for LLM agents, with configurable root directory and read-only mode, built with FastMCP.

Enables AI assistants to identify processes listening on specific network ports by returning process names and PIDs. It provides infrastructure introspection capabilities through the Linux ss command to help users monitor and debug local services.