Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.
Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.
A local MCP server that exposes Mobile AI Agent capabilities from the WebADB browser as MCP tools, allowing external AI clients like Qoder and OpenClaw to control connected phones through natural language tasks, screenshots, device status, and memory management via a WebSocket relay.
Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.
A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.
A lightweight MCP server that provides real-time hardware statistics including CPU, memory, disk, and NVIDIA GPU usage. It enables users to monitor system performance and retrieve comprehensive host machine specifications through a standardized interface.
A read-only MCP server for Linux system monitoring and OS algorithm simulation, exposing tools for memory, filesystem, process, and CPU scheduling observations.
A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.
This MCP server integrates AI assistants with Cheat Engine on Windows, providing tools for process management, memory read/write, pointer resolution, AOB scanning, speedhacking, and Lua scripting via a local TCP connection.
Enables AI to directly control Cheat Engine for process attachment, memory scanning, reading/writing, address list management, speed hack, Lua/Auto Assembler execution, and CT file management via the MCP protocol.
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.
FastMCP wrapper for Sysinternals CLI tools, enabling system diagnostics like process listing, handle inspection, and memory analysis through natural language.
MCP server for Cheat Engine 7.6 that enables AI agents to perform memory scanning, reading/writing, process manipulation, debugging, and code injection via a Lua named pipe bridge.