"A digital currency wallet" matching MCP servers:

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.

Enables voice-controlled hardware to execute approved Mac actions (like opening apps and querying system status) through a secure MCP bridge.

A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.

A comprehensive MCP server for Frida dynamic instrumentation, enabling AI agents to manage devices, processes, scripts, memory, and ADB operations.

Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.

Enables AI agents to control Digital Loggers (DLI) Web Power Switches for hardware discovery, status querying, and power operations. It features a safety-first architecture with configurable access levels to protect critical infrastructure from unauthorized or accidental power loss.

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.

MCP server for building and driving VMware Workstation VMs from an AI agent, enabling unattended OS installs, guest command execution, file transfer, screenshots, and fleet management.

Enables AI agents to interface with Velociraptor for digital forensics and incident response tasks, including file/memory scans, remediation actions, and artifact collection across multiple operating systems.

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

Enables fast, scriptable access to Windows .evtx event logs for incident response and digital forensics. Supports filtering events by time windows, Event IDs, and keywords with field projection to reduce output size.

An advanced macOS automation toolkit that enables AI clients to directly control a machine through deep integration with Keyboard Maestro. It provides a comprehensive suite of tools for executing macros, managing variables, and performing complex system automation with enterprise-grade security.

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.

A personal desktop automation MCP server providing tools for screen/mouse/keyboard control, Windows UI automation, headless browser automation, file management, app execution, clipboard management, and a personal SQLite database for todos, notes, and habits.

MCP server for pre-print QA of Bambu Studio projects, providing tools to inspect models and 3MF files, validate risky settings, create support variants, and open files in Bambu Studio.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

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

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