Enables coding assistants to drive iOS Simulators and Android emulators or USB devices for React Native and Expo work, including taking screenshots, reading app and device logs, opening deep links, installing builds, and launching or relaunching apps. It also supports Android-specific actions such as adb reverse for Metro, opening the dev menu, and tapping or typing on screen.
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 browse N-able N-central RMM data such as org unit hierarchies, devices, assets, lifecycle and service status, active issues, scheduled tasks, custom properties, maintenance windows and access groups. On explicit request it also performs writes — running scripts or automation policies on a device, changing custom properties or lifecycle data, adding or deleting maintenance windows, and creating device or org unit access groups.
Enables AI agents to control Windows and web applications through a three-layer hybrid execution engine that selects system/CLI, structural UI/DOM, or pure vision automation as needed, with live cursor tracking and native Arabic keyboard input.
MCP server for capturing screenshots of desktop windows on Windows. Allows AI assistants to see what's on screen for UI development, debugging, and iterating on designs.
A high-performance Model Context Protocol (MCP) server built for Windows. Leveraging the native Everything SDK, it provides AI models (like Claude, GPT, Gemini) with millisecond-speed file searching, statistical analysis, and disk usage insights.
Enables AI assistants to check disk usage on the host machine, providing real-time reports on partition health, warnings, and critical alerts across Windows, macOS, and Linux.
Enables secure SSH-based operations on Oracle Linux 8+ hosts through a curated, YAML-defined capability catalog, with typed parameters, two-phase confirmations for mutations, and full audit logging.
Enables AI assistants to interact with VMware Workspace ONE UEM environments for device management, user administration, and system operations. Provides access to 25+ commonly used UEM APIs with support for OAuth2 authentication and bulk operations.
It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.
A secure MCP server that gives ChatGPT access to local terminal, files, and background processes, and lets it discover, manage, and call any registered MCP server on the machine.
A comprehensive MCP server for Linux automation operations management, providing 88 tools across 8 categories for file, system, process, network, compression, and package management via SSH connections.
Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.
Enables AI agents to see and control a real iPhone over a USB cable on macOS. Provides screenshots, on-screen text reading, taps, swipes, typing, hardware buttons, app launching, and clipboard access without jailbreaking or installing anything on the phone.
Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.
Enables AI agents, CLI users, and Python scripts to securely share permissions, tasks, and scientific computing interfaces on geophysics research servers, including job management and DAS data processing.
On-server agent for managing PostgreSQL, Redis, Keycloak, and NGINX on Ubuntu infrastructure with real-time monitoring, automated maintenance, and distributed command execution.
Controls a Linux host through structured interfaces like systemd, journald, and D-Bus for service management, journal queries, power operations, and more, with safety guards to prevent accidental damage.
Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.
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.
Inspect, manage, and kill local dev servers via MCP. Stop guessing what's on :3000. Five tools: list servers with framework detection, inspect ports, find zombies, diagnose conflicts, safe-kill with dry-run default. Local, no cloud, no telemetry.
Lets an AI assistant look after Android TV boxes, phones and watches over ADB: find devices on the network, see the screen, tap and type, install apps. Package changes are dry-run first, with a protected set read off the device and one-call rollback.
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.
Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.
Let an AI agent read, write and scan the memory of running processes on Windows, Linux and macOS, Cheat Engine style: value scans, refinement and pointer chains.