"How to automate workflows in DaVinci Resolve and Fusion" matching MCP servers:

A Model Context Protocol server for ConnectWise Automate with decision tree architecture, enabling Claude to manage scripts, computers, groups, and automation workflows.

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 AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

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.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows across multiple sessions. Similar to how Playwright works for web browsers but for command-line interfaces.

Arch MCP provides three main capabilities: * Access to Arch Wiki, AUR packages, official repos, and installed packages * Search, analyze, and securely install packages with built-in 50+ safety checks * Guided workflows for troubleshooting, security audits, and dependency analysis

Self-learning macOS automation MCP server that remembers successful patterns and avoids repeated failures, enabling AI agents to execute multi-step workflows via reusable recipes.

Enables Large Language Models to automate macOS applications and execute AppleScript commands through natural language. It features built-in security protections including application allowlists and dangerous pattern detection to prevent unauthorized or risky system operations.

Enables AI assistants to inspect, control, and automate Arch Linux/CachyOS and the Niri Desktop Environment through natural language, featuring tools for window management, system administration, package queries, and hardware control.

Enables MCP agents to automate real GUI applications on headless desktops, providing background mouse/keyboard control, window/process management, screenshots, and safe human handoff without disturbing the user's desktop.

Enables AI assistants to automate macOS through AppleScript and JXA by providing 44 tools for application management, window control, and UI interaction. It allows for comprehensive system control including screen capture, keyboard and mouse simulation, and system information retrieval.

Enables local Windows UI automation and screen capture, targeting windows that are difficult to automate such as games and legacy apps, with tools for window management, mouse and keyboard input, and desktop capture.

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.

A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.

A local CLI and MCP server enabling an LLM to control GarageBand on macOS via AppleScript, accessibility automation, and MIDI workflows.