"YouTube MCP integration with Cursor AI" matching MCP servers:

Enables users to record Windows desktop and browser workflows once and generate replayable Cursor Skills, using Playwright MCP and Windows Computer MCP for semantic, non-coordinate replay.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

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.

Full computer control for AI agents on macOS — see, click, type, scroll via MCP. Works with any app, all processing on-device with PII protection.

Enables AI agents to remotely control gaming PCs for automated gameplay with tools for screen capture, mouse/keyboard control, workflows, and system operations.

Enables loading plain-Python tool sets for Google Workspace (Gmail, Calendar, Chat, Docs, Sheets, Slides, Drive), Mac control, and clock/time-zone lookups, then exposing them as MCP tools with confirmation gates on sends and deletes. Tool sets can be served in-process to the Claude Agent SDK or over stdio to any MCP client, either individually, in groups, or all at once.

A cross-platform MCP server that enables AI assistants to manage printers, query printer status, and print files on Windows, macOS, and Linux.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

Enables AI models to play the game Peggle by capturing the primary monitor's screen and simulating mouse clicks. It provides tools for visual analysis and coordinate-based interaction to automate gameplay.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.

Native Windows MCP server that gives AI agents full desktop control. 45+ tools using UIAutomation + OCR with automatic dark theme enhancement instead of screenshots. Features batch action sequencing (run_sequence), window occlusion detection, menu navigation, PrintWindow capture, and embedded AI workflow instructions. Single .NET 8 executable — no Python, no Node, no Selenium.

Enables ChatGPT to securely control a Windows PC via a local agent, supporting file operations, Chrome automation, and allowlisted apps with audit logging and approval workflows.

Outbound-only remote shell, detached long-running jobs, and temporary file courier for AI agents. Hosted Streamable HTTP plus stdio via npx -y @aicommander/mcp.

Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.

Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.

Enables AI agents to create, start, inspect and stop Windows background workspaces that launch approved executables on private Win32 desktops, then inspect windows and controls, set Edit text, send background button clicks, and capture window pixels into returned images. Connects locally over an authenticated named pipe to the same live workspaces the desktop manager uses, with no control TCP listener.

A comprehensive toolkit that enhances LLM capabilities through the Model Context Protocol, allowing LLMs to interact with external services including command-line operations, file management, Figma integration, and audio processing.

Enables AI assistants to safely perform actions on your computer including file system management, command execution, clipboard access, application launching, and local search with license-based monetization built in.