"Linux Mint" matching MCP servers:

Enables agents to mint Ashfields NFTs on Ethereum by burning 100,000 $ASH per token, check wallet and mint status, approve allowances, and trigger royalty distributions.

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.

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.

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.

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

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 Claude Code and Codex to see and drive an X11 desktop through screenshots, mouse, keyboard, and accessibility-tree actions while keeping the user's own pointer and focus separate.

A Model Context Protocol server that enables Claude Desktop to execute bash commands and scripts in WSL2 Linux distributions on Windows.

Enables browser automation for LLMs on Linux display servers, supporting web interaction, screenshots, and JavaScript execution in a real browser.

MCP server enabling AI agents to control a real Linux browser with live view, human takeover, and safety guardrails.

A tool that allows penetration testing through Kali Linux commands executed via a Multi-Conversation Protocol server, supporting security testing operations like SQL injection and command execution.

Enables provider-neutral automation of dedicated Linux desktop applications across private X11, KWin/Wayland, headless Chromium, and explicitly enrolled Sway sessions through MCP. It supports input, screenshots, window targeting, cancellation, timeouts, and crash recovery while reporting each backend's limits.

A powerful Python-based Model Context Protocol (MCP) server that enables AI assistants to manage remote Linux machines over SSH directly from your chat interface.

Enables LLMs to execute shell commands and perform file operations on a Linux system, exposing tools like execute_command, read_file, write_file, and more.

Provides secure access to Kali Linux security tools through containerized execution, enabling network scanning, web application testing, and security assessments.

Enables MCP-compatible agents to perform local FFmpeg-powered video editing on Linux, including probing media metadata, trimming and re-encoding clips, extracting audio to MP3, and burning SRT subtitles into MP4 files. All operations are confined to a configurable workspace directory, leaving source files untouched and refusing to overwrite existing outputs.

Provides AI assistants with the ability to control Linux desktop environments through tools for file management, application launching, and system operations like clipboard access. It includes a multi-level security model to manage permissions for safe, elevated, and restricted actions.

An MCP server that integrates Kali Linux security tools with AI assistants, enabling security professionals to run penetration testing, vulnerability assessments, and generate reports through natural language commands.

Enables AI agents to use Mint as a safety layer for file operations on macOS, providing storage growth analysis, cleanup suggestions, and journaled, reversible deletions via MCP tools.

Enables AI agents and automation tools to interact with GUI applications in isolated X11 displays via MCP, supporting input, window management, screenshots, clipboard, and accessibility actions.

Enables LLMs to control a Linux server via multiple shell windows with background execution, notes, and sudo separation, allowing natural-language-driven system management and command execution.

Enables AI agents to control Linux desktops and compositors, including Hyprland/Wayland window management, PipeWire audio routing, systemd diagnostics and self-healing, notifications, screenshots, and optional agent memory.

Provides access to Kali Linux security tools through a Docker container, enabling penetration testing and security assessments via MCP-compatible clients.

A read-only observability server that lets external agentic AI clients query CPU, memory, load, uptime, allowlisted filesystem capacity, bounded process snapshots, and permitted journald logs. It also provides a JSON system summary resource and a safe health-check prompt, with no arbitrary shell or destructive operations exposed.

Enables AI assistants to control native Linux desktop applications by exposing the AT-SPI2 accessibility tree with semantic element references, so they can snapshot, search, click, type, and send keyboard shortcuts across GTK, Qt, and Electron apps. It also adds system-level tools for running shell commands, reading and writing the clipboard, launching installed applications, and sending desktop notifications.

Enables AI agents to automate the Viber desktop client on Linux by searching contacts, opening chats, reading conversation history, preparing verified drafts, and sending operator-approved messages.

Lets an MCP client see and control apps on a local X11 Linux desktop by clicking, typing, scrolling, dragging, and pasting text, with a visible Stop control that returns input to the user.