"Netflix Media Control Protocol (MCP) or Management Platform" matching MCP servers:

Enables AI agents to monitor system resources and control media, brightness, volume, and other Windows PC functions through natural language commands.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables comprehensive Linux desktop agent capabilities for Ubuntu/Debian systems, including system state monitoring, package management, persistent terminal sessions, and desktop control via mouse, keyboard, and screen capture, with support for multiple remote machines and a built-in permission system.

Enables local AI clients on Windows to automate desktop and system tasks via MCP stdio, CLI, or optional localhost HTTP, including screenshots, mouse and keyboard input, files, processes, registry, and accessibility-tree window interactions, with local-only execution and no cloud fallback.

Self-hosted Linux server control integration that lets remote MCP clients authenticate through persistent OAuth and invoke file, patch, command, terminal, Git, and image tools. Clients can also subscribe to targeted, signed event notifications for experimental event-driven workflows.

Enables AI agents to drive a connected Android phone over ADB with 28 tools covering screenshots and UI inspection, taps/swipes/typing, app install and launch, file transfer, wireless pairing, and one-call scripted flows like tap-by-text and wait-for-text.

Enables AI services like Claude and Cursor to remotely control a Mac by executing shell commands, managing files, and running AppleScript for UI automation. Access is secured through OAuth 2.0 authentication and encrypted tunnels to protect remote interactions.

Enables MCP clients to manage remote Linux terminals over SSH, supporting multi-host and jump-host command execution, background task control, and SFTP file writes, edits, and verified uploads.

Enables controlling an Android device from an MCP client via ADB, including wireless debugging discovery, UI-tree inspection, and performing taps, swipes, typing, app actions, and shell commands without relying on screen coordinates.

Enables management and administration of Nextcloud instances through OCC commands, including status checks, trusted domain configuration, and database optimization.

Enables AI agents to safely read, audit, and manage Clash Verge Rev / Mihomo configuration with read-only and controlled runtime operations.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables comprehensive control over macOS GUI elements including mouse, keyboard, window management, and screen capture. It allows for automated system interactions and script execution while maintaining safety by blocking potentially destructive deletion commands.

Enables agents to manage and operate macOS VM workspaces through authenticated MCP tools, including lifecycle control, command execution, job monitoring, and access to desktop connection and guest login details.

Connects to a GCP-hosted AOSP build VM via IAP tunnel, uploads APKs as privileged system apps, and builds system.img.

Enables controlling an Ubuntu desktop VM over SSH: run shell commands, open real terminal windows, drive the mouse and keyboard, manage windows, transfer files, and capture genuine screenshots of the screen or a single window. Intended for GUI-dependent work such as security experiments, vulnerability reproduction, form filling, and report illustrations.

Enables persistent terminal sessions across multiple shells (Bash, CMD, PowerShell, WSL) with incremental output reading and autonomous goal execution with acceptance criteria.

Enables programmatic execution of coding tasks and autonomous file operations using Claude AI. It allows agents to search codebases, run shell commands, and track file changes through the Model Context Protocol.

An MCP server that lets AI clients manage game servers hosted on a Calagopus panel: list and inspect servers, read logs and files, edit configs, run console commands and power actions, and search, install, update, or remove plugins and mods from Modrinth and CurseForge. Every action is bounded by the user's panel API key and server permissions, with read-only/destructive hints and token-efficient tool responses.

Enables remote Linux VM management via SSH with automatic safety checks for destructive commands, supporting password authentication and sudo operations.

MCP server enabling voice-controlled Windows PC automation via Xiaozhi AI, supporting 200+ apps, media playback control, and terminal command execution.

Enables secure remote control of an allowlisted ModelScope DSW machine through a stateless Cloudflare Workers MCP gateway, supporting shell command execution, target listing, and health checks.

The Yeepay MCP service provides integration with Yeepay services via the Model Context Protocol (MCP).

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

A comprehensive Model Context Protocol server that enables Claude Code to perform expect/pexpect-style automation for interactive programs, supporting complex interactions with terminal programs, SSH sessions, databases, and debugging workflows.

Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.

Enables AI clients to connect by URL, approve once, and then call dozens of native tools to drive a Windows machine — mouse and keyboard input, screenshots, native dialogs, and shell commands. Access is controllable end to end, with live session counts, scoped and rotatable keys, per-path toggles across relay, tunnel, tailnet, or web dashboard, and one-click revocation.

Enables AI agents to efficiently manage and monitor background processes, with features like process startup, termination, log retrieval, and resource management.