"Setting up an MCP server in Kubernetes" matching MCP servers:

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Enables managing Kubernetes clusters through natural language by providing tools to list resources, view logs, port-forward services, scale deployments, and execute kubectl operations via AI assistants.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.

A virtual Linux desktop as an MCP server, shipped in Docker. Agents drive screen, mouse, keyboard across any GUI — browsers, IDEs, office suites, Wine/Windows apps, legacy software — many in parallel.

Lets an AI assistant check for and open an Android app over USB via adb, play chosen folders in VLC, open SoundCloud likes, and control Windows media keys.

Enables Claude Code to read and operate macOS app interfaces through the accessibility tree, pressing buttons, setting text fields, typing with IME support, sending shortcuts, scrolling, dragging, and capturing screenshots. It drives background apps without moving the mouse or stealing focus from the user's current work.

An MCP server that allows secure execution of macOS terminal commands through Claude or Roo Code with built-in security whitelisting and approval mechanisms.

Enables an AI agent to read and configure OpenDeck stream controller setups through natural language, covering keys, dials, profiles, Multi and Toggle Actions, app-based profile switching, and plugin management. Every change is staged, previewed as a diff, applied only after confirmation, and backed up so it can be undone.

An MCP server that enables secure execution of shell commands across Windows, macOS, and Linux with built-in whitelisting and approval mechanisms for enhanced security.

Enables AI agents to control Android TVs, TV boxes, phones, and tablets over ADB through MCP tools for scanning and connecting devices, pressing keys, launching apps, opening URLs, searching YouTube, setting alarms and timers, managing volume and power, checking state, and capturing screenshots.

MCP server that enables Claude to control your computer, similar to Anthropic's computer use but easy to set up locally.

An open-source MCP server for macOS that lets AI control desktop apps in the background without moving the cursor or stealing focus.

An unofficial experimental local MCP server that lets AI clients work with an already logged-in Windows Weixin desktop client, providing bounded conversation and message reads, group and message search, polling of up to 16 selected chats, guarded text and attachment submission, and image/file viewing handoffs. It also exposes hybrid Computer Use prompts for native mention handoffs, while remeasuring the window, DPI, and target controls on each action and failing closed when evidence is insufficient.

An SSH-to-MCP bridge that lets MCP-capable agents reach Chrome tabs, optional desktop adapters, and scoped SideScreen tools running in a signed-in Windows session, routed through an authenticated loopback broker. It keeps browser and desktop processes in the interactive session while exposing their tools over an existing SSH connection.

Enables controlling Android emulators and devices by listing and launching AVDs, rotating screens, capturing screenshots, sending taps/swipes/keys/text, reading device state, and setting foldable postures.

Coordinates VAWS task identity, ready-runtime pools, exclusive bindings, and managed jobs on Ascend hosts through an opt-in, shared Streamable HTTP MCP service.

Enables AI clients to see and control a Windows desktop through screenshots, built-in OCR, mouse and keyboard input, and accessibility trees read via UI Automation, MSAA and Chrome DevTools Protocol. It also manages windows, virtual desktops and element-level actions such as invoking controls or setting values, running on Node.js with the PowerShell that ships with Windows.

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

Enables an MCP client to attach into a running VoiSona editor and work with its in-process object graph for module and window inspection, signature scanning, memory reads/writes, pointer-chain resolution, and loading a learned note vocabulary.

An enhanced MCP server that grants AI assistants the ability to execute terminal commands on a user's system with improved security controls, designed for use in controlled environments.

An MCP server that lets Claude operate your real computer by moving the actual mouse, clicking, typing, and reading the actual screen, working with your own logged-in sessions in any application.

Enables an AI client to control an Android phone over Wi-Fi adb from a container or Kubernetes Pod, supporting actions such as tapping, typing, installing apps, opening URLs, and taking screenshots via Streamable HTTP.

Enables AI agents to securely manage Linux, Docker, Kubernetes, and SSH infrastructure through MCP with permission control, audit logging, and dangerous command filtering.

Enables MCP-capable AI agents such as Claude, Codex, Gemini CLI, Cursor and Zed to design and manage a Stream Deck by reading layouts, building pages and keys, setting icons and wallpapers, managing profiles and taking screenshots to verify their own work. Access is governed by read-only, edit-layout and full-control levels, with approval prompts before any tool runs something on the user's computer.

AETHER_02 is an MCP server written in Rust that gives AI assistants full control over Linux via standard input/output.

Enables users to manage Linux HPC clusters from ChatGPT via an outbound Secure MCP Tunnel, with read-only and opt-in filesystem, command execution, background process, and Slurm/PBS scheduler tools.

Lets an AI agent read messages in Apple Mail on macOS through AppleScript, list the newest mail, and open drafts for review. Sending happens only after the user clicks Send in Mail's confirmation dialog, so nothing leaves the machine unapproved.