"Examples of DeepSeek-related applications or projects" matching MCP servers:

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.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.

A Model Context Protocol server that enables execution of AppleScript and JavaScript for Automation scripts on macOS, allowing programmatic control of applications and system functions through a rich knowledge base of pre-defined scripts.

Provides a Model Context Protocol server for executing AppleScript and JavaScript for Automation scripts on macOS, featuring a knowledge base of pre-defined scripts and supporting automation of macOS applications and system functions.

Secure AppleScript execution for AI applications via Model Context Protocol with configurable security profiles and automatic TCC permission handling.

Enables debugging and automation of native Electron applications on macOS through DOM inspection, UI automation, global hotkeys, and Chrome DevTools Protocol integration.

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 general-purpose Windows desktop automation via MCP tools: opening applications and URLs, taking screenshots, checking whether processes are running, and waiting.

Enables the execution of AppleScript and JavaScript for Automation (JXA) on macOS to control applications, system events, and shell commands. It provides native automation capabilities with a security layer that permits most operations while specifically blocking file deletion commands.

Enables AI models to use custom tools defined in TypeScript — such as launching applications on the user's computer, reading notes, or calling APIs — exposed over the Model Context Protocol. Includes minimal example tools (current time, greeting, listing and opening installed apps) and connects to clients like opencode, Claude Desktop, or Cursor.

Turns Mac apps into MCP servers that expose an app's actions as typed, deterministic tools, so agents can drive GUI applications through the accessibility API without screenshots or pixel coordinates. Each call replays a recorded action with no model on the serving path, making interactions fast, cheap, and repeatable.

Enables MCP clients to open and close applications, files, and folders on a Windows machine, manage running apps and File Explorer windows, control Chrome tabs, and perform system actions like shutdown and restart.

Enables OpenAI Codex to inspect and operate Windows desktop applications in the background while the user keeps control of the mouse, keyboard, and foreground window, with each action verified against the application's real state.

MCP server exposing Windows desktop UI Automation as tools for AI agents, enabling automated interaction with Windows applications via Appium.

An MCP server that enables remote observation and control of a Chromium browser via a WebSocket relay, supporting DOM, CDP, and native OS automation for local or LAN-based AI agents.

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 AI assistants to capture screenshots and read clipboard content from Windows applications while operating within a WSL environment. It supports monitor or window-specific targeting and features intelligent image optimization for efficient data transfer.

Enables fast, precise control of web browsers and the physical desktop through MCP, combining DOM and native OS accessibility targeting with vision-based fallback and human-like mouse movement. Supports clicking, typing, scrolling, dragging, and drawing on canvas or paint applications across Linux, Windows, and macOS.

A collection of tools that enables Claude AI and Cursor to access native macOS applications such as Messages, Notes, Contacts, Emails, Reminders, Calendar, and Maps through the Model Context Protocol.

A comprehensive Model Context Protocol (MCP) server that enables Claude and other LLM applications to execute PowerShell commands, scripts, and perform system operations on Windows systems.

Enables local X11 desktop control for MCP clients, including persistent Python execution, AT-SPI accessibility inspection, screenshots, and recoverable mouse/keyboard input for operating real applications.

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.

A Model Context Protocol server that enables running AppleScript code to interact with Mac applications and system features including Notes, Calendar, Contacts, Messages, file management, and more.

Enables AI agents to control Windows desktop applications by wrapping Codex's Computer Use capability.

Enables provider-neutral automation of dedicated Linux desktop applications across private X11, KWin/Wayland, headless Chromium, and explicitly enrolled Sway sessions through MCP. It supports input, screenshots, window targeting, cancellation, timeouts, and crash recovery while reporting each backend's limits.

Enables Claude AI to open files and directories with system default applications or specified apps, and reveal items in macOS Finder.

Enables AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities. Provides process management, device control, JavaScript REPL execution, and script injection for runtime analysis and reverse engineering.

Enables AI agents to observe and control local browsers and desktop applications over MCP, including reading UI elements and differences, capturing images, and performing permitted clicks, typing, selections, scrolling, and multi-window operations.

Enables agents to run GUI applications inside a visible nested Wayland display with exact screenshots and reliable keyboard and pointer control, without affecting the host desktop's focus, cursor acceleration, or window management.