"Using Ghidra for Reverse Engineering and Decompiling Software" matching MCP servers:

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.

MCP bridge for Nemeton — control native macOS virtual machines (Apple Virtualization.framework) from Claude Desktop, Claude Code, or any MCP client. 50+ tools across VM lifecycle, snapshots, console, files, networking, and host metrics. Bridge open-source (MIT), Nemeton app is commercial.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

Provides secure access to containerized build environments for software projects, enabling AI assistants to execute builds, run tests, manage git operations, and inspect build artifacts without requiring local installation of dependencies.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

MCP server that discovers Korean e-Government and financial websites and launches them in a clean disposable Windows Sandbox (or macOS macSandbox) without requiring security software installation. It handles search and sandbox execution, leaving authentication and actual tasks to the user.

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.

Provides ChatGPT with a persistent, VM-like Linux engineering workstation inside Docker, with root access, development tools, and a private nested Docker daemon.

This MCP provides comprehensive tools and resources for MSX software development, testing, and automation through openMSX emulator.

A sandbox-first MCP server that enables AI agents to safely perform reverse-engineering tasks in fully isolated Docker containers, featuring zero-trust security, declarative YAML-based skills, and white-hat ethical safeguards.

Enables interaction with VMware vCenter 8.0 REST API via a reverse proxy, providing read-only and write tools with dry-run protection and automatic session management.

Enables AI agents to control RoboDK robotics simulation software, allowing them to manage stations, add robots, and inspect station hierarchies through natural language commands.

A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

Enables MCP clients to rent GPUs from ParalonCloud using natural language, including browsing available GPUs, starting and stopping rentals, and retrieving connection URLs.

AI-powered VMware storage management for vSphere. Manage datastores, iSCSI targets, and vSAN via natural language with 11 MCP tools.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

Install and manage a self-hosted XNS Relayer — S3-compatible distributed object storage — conversationally over stdio. 15 tools cover prerequisites, account registration, install, claim, health, VPD configuration, S3 verification, CLI credentials, settings, restart, and backups.

Enables AI coding agents to safely run commands, install dependencies, test, and modify code inside disposable, policy-enforced Docker sandboxes isolated from the host, returning results and diffs.

Enables systematic investigation of VMware errors and events by correlating event timelines, ranking root-cause hypotheses, and suggesting next diagnostic steps.