"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP servers:

MCP AutoProvisioner

Enables managing Docker containers and Docker Compose projects on Synology NAS via SSH, with auto-privilege escalation and full compatibility with Synology Container Manager.

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

Enables network configuration, connectivity testing, and routing management for ContainerLab Linux containers through an MCP interface.

Enables Docker container management through natural language conversations, including deployment, health monitoring, dependency resolution, auto-redeployment on file changes, and environment snapshots.

Enables safe Python code execution in isolated Docker containers through the AgentRun framework. Provides automatic container lifecycle management and comprehensive error handling for secure and reproducible code execution.

Provides structured access to iOS Simulator management via xcrun simctl commands, enabling device, app, media, and testing operations through natural language.

Enables programmatic control and AI-driven E2E testing of iOS virtual machines by exposing display, touch input, and navigation tools. It provides hardware key emulation, app navigation, and raw touch interactions with inline screenshot feedback for real-time visual context.

Enables AI assistants to run shell commands, read, write, edit, search, and stream files on remote SSH servers and Docker containers, including nested multi-layer chains, without installing any runtime on the target hosts. It auto-injects a self-contained Go helper with adaptive zstd compression for fast transfers and process control.

Enables AI coding agents to reverse engineer an operating system from its ISO and rebuild it component by component, exposing 39 tools over stdio for ISO fingerprinting, sandboxed QEMU VM lifecycle, PE analysis, API-surface dumps, syscall tracing, behavior diffs, component scaffolding, compat shims, app-compat testing, and knowledge-base search. It lets an agent survey a reference OS, generate clean-room specs and code, boot the rebuild, and test real applications against it.

An MCP server that provides AI agents with a full Ubuntu desktop environment inside Docker, enabling them to perform complex computer tasks like browsing, coding, testing, and GUI automation.

MCP server for Android emulator automation via ADB.

Enables AI-powered management of Ludus cyber range environments through natural language commands. Provides 157 tools for range lifecycle management, scenario deployment, template creation, Ansible role management, and SIEM integration for security testing and research.

Enables AI coding agents to perform automated Blender UI testing, user-story validation, and computer-use workflows inside an isolated GPU-partitioned Windows 11 VM without disrupting the host desktop.

Enables AI assistants to explore, build, run, and troubleshoot Cisco Modeling Labs (CML 2.x) network topologies, including lab construction from specs, console command execution, reachability testing, packet capture analysis, link impairment scenarios, and topology diagram export.

Enables multiple AI agent sessions to share a single Mac's Apple Simulator pool through one shared daemon that tracks leases and auto-dispatches freed simulators to the next waiting caller. It provides simulator UI automation, app lifecycle, profiling, live streaming, crash debugging, and HTTPS interception tools, all gated to the lease holder.

Enables interaction with Google Kubernetes Engine (GKE) to list clusters, manage node pools, and retrieve server configurations. It includes automated scripts for deploying and testing sample applications across multiple GKE Autopilot clusters.

A demonstration MCP server that simulates server management actions for Contabo and Hetzner using FastAPI. It provides a mock environment for testing request routing and provider-based service modules without requiring live API credentials.

Enables comprehensive Ansible automation management through natural language, including playbook creation and execution, inventory management, role scaffolding, and project workflows. Supports both local inventories and full project lifecycle management with syntax validation and idempotency testing.