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

Enables control and management of a self-hosted media stack (Radarr, Sonarr, Prowlarr, SABnzbd, qBittorrent) through natural language via MCP.

MCP server for media stack management — movies/TV, audiobooks/ebooks, and music. Integrates with Jellyseerr, Radarr, Sonarr, Jellyfin, Prowlarr, qBittorrent, Audiobookshelf, and Navidrome.

Let AI agents operate a real USB-connected iPhone from Linux — no Mac, no jailbreak, no paid developer account. Screenshots, taps, swipes, text input, element tree and app control via WebDriverAgent, with CoreDevice HID fallback.

Deterministic, LLM-first control of Word documents (.docx). An agent reads the outline, finds text by phrase, and applies edits as tracked changes and comments in one atomic batch, with a safety layer that refuses edits based on a stale read and rolls back failed batches. It works on .docx files directly, and can also drive an open document in Microsoft Word on Windows or in LibreOffice Writer.

Connects Home Assistant media players to Cursor, allowing automated control of playback (play/pause) based on agent activity for dopamine-driven development breaks.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.

Enables computer control via mouse, keyboard, OCR, and screen/window management, similar to Anthropic's computer-use.

Enables AI agents to drive a live AutoCAD session over stdio with transactional, serialized writes: inspecting and saving documents, managing layers, creating and editing line/circle/arc/polyline/rectangle/text entities, querying selections, setting checkpoints, and exporting DXF. Every request is validated against strict schemas with document revision checks and save-reopen geometry readback, and a headless backend is available when no AutoCAD instance is running.

Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.

MCP server that provides computer control capabilities including mouse movements, keyboard actions, screenshot capture with OCR, and window management through a unified API.

Enables AI agents to operate websites and Windows desktop applications by reading and acting on webpage elements, exposed UI controls, and screenshots with mouse and keyboard input. Combines browser, desktop, and computer-control channels in a single task, with an optional target selector for batched actions.

A native MCP server that gives AI assistants full Chrome control via the DevTools Protocol and an unpacked extension, including semantic element refs, real input, screenshots, and browser/tab/window management. It exposes 43 callable tools with a visible control overlay and an optional read-only security profile.

MCP server for AI to operate Windows apps via screen OCR and background input, featuring structured WhatsApp UI tools for reading chats, detecting unread messages, and sending messages without stealing focus.

Enables GUI automation by capturing screen, controlling mouse/keyboard, and targeting controls via accessibility layer; optionally supports voice commands and synthesis.

Connects AI assistants to your n8n instance to manage workflows, executions, credentials, and user settings through 31 specialized tools. It enables users to perform n8n operations like workflow creation, activation, and execution history retrieval via natural language.

A local stdio MCP service that lets an authorized AI assistant see and operate one Android phone through ADB, with screenshots, on-device OCR, text/coordinate taps, swipes, and app launching, plus optional scrcpy-based Chinese and emoji input. Includes zoomed inspection, a 0-1000 coordinate ruler, and crosshair preview with post-tap feedback so actions can be verified against the real screen.

An MCP server that enables AI assistants to control TVs on a local network through natural language commands. It currently supports Roku devices, allowing users to launch apps, manage playback, and navigate menus.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

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.

Enables AI agents to observe and operate a real Windows or Linux desktop like a human — snapshotting screen geometry, active window, OCR text and normalized UI elements, then clicking, typing, scrolling and managing windows with built-in verification and recovery. Backends are chosen automatically per action (UIA/AT-SPI → OCR → vision → PyAutoGUI), so browsers, IDEs, office suites and canvas apps are all controllable without any browser-automation MCP.

Enables AI assistants to inspect and safely control OBS Studio over obs-websocket v5, exposing scenes, inputs, filters, outputs and video settings as read and write tools that default to dry runs and refuse changes while live unless explicitly confirmed. It also provides Source Record and IRL readiness checks, a BRB auto-switcher, and a scene timeline log for cutting clips from VODs.

Enables MCP hosts to safely control Douyin developer tools for tasks such as opening projects, previewing, building, capturing screenshots, reading console errors, uploading, and auditing mini programs and mini games.

Enables AI agents to see and operate a real USB-connected iPhone from a Linux Docker host — taking screenshots with region zoom, reading the element tree, tapping, swiping, long-pressing, typing text, pressing hardware buttons, listing/launching/terminating apps, and opening URLs. Automatically recovers from replugs and crashes, re-signs its automation agent before expiry, and falls back to a signing-free HID path on newer iOS.

Exposes open automation platform capabilities to AI agents with tools for managing job templates, inventories, collections, EDA activations, audit events, and policy checks, governed by gateway auth, RBAC, and policy enforcement.

Enables AI assistants to observe, reason about, and control connected Android devices via ADB, providing tools for screenshots, UI hierarchy parsing, semantic element clicking, gestures, text input, and app lifecycle management.

Enables users to connect to their email inbox via IMAP to search, filter, and summarize emails based on criteria like subject, date, and sender. Supports marking emails as read and provides customizable email summarization with various prompt options.

Connects AI assistants to a social workspace so they can read brand context and saved analytics, create reviewable drafts, schedule approved campaigns at future times, and access permissioned research. Scheduling, credit usage and paid refreshes stay explicit and separate from draft creation.

Enables MCP clients like Claude Desktop to drive order, inventory, and billing operations through the same human-approval-gated tools and risk policy as the platform's LangChain agents.

Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.

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.