"Capture The Flag (CTF) cybersecurity competitions and challenges" matching MCP servers:

Enables AI agents to run commands, capture outputs, and manage background processes with filtering capabilities for debugging and monitoring.

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

An MCP tool that enables AI agents to debug ELF binaries, particularly for CTF pwn challenges.

AI-native security research platform that integrates Claude with MCP to execute real offensive security tools in an isolated Docker container, enabling natural language-driven recon, CVE scanning, Active Directory enumeration, and cryptographic posture assessment.

Connects AI assistants to a Kali Linux terminal for executing security tools, managing interactive shell sessions, and performing penetration testing, CTF challenges, and security research tasks.

Enables AI assistants to run any Kali Linux tool or command over Streamable HTTP, supporting penetration testing, CTF challenges, and offensive security automation with full root access and async job handling.

Sandboxed Bash for Agents. Full state capture on every command.

Enables an MCP client to observe and control a text-mode DOS system via a Python bridge, supporting keyboard input and screen capture.

Enables AI assistants to perform authorized WiFi security assessments, including network scanning, handshake capture, and password cracking, by executing aircrack-ng commands on a remote Kali Linux system via SSH.

Enables comprehensive control over macOS GUI elements including mouse, keyboard, window management, and screen capture. It allows for automated system interactions and script execution while maintaining safety by blocking potentially destructive deletion commands.

Enables control of Android devices via ADB for automation and testing. Supports app management, screen capture, UI analysis, and input simulation through natural language commands.

Enables AI agents to remotely control Linux machines via SSH with 35 tools for session management, file transfer, system administration, Docker, and CTF operations.

An MCP server that bridges LLM platforms with multiple socket_server targets, enabling batch parallel execution of packet capture, dial testing, command, and file operations with authentication, auditing, and status locking.

Enables safe execution of system shell commands with real-time streaming output and rich metadata capture. Provides configurable command execution with timeout controls, environment management, and extensible plugin architecture for monitoring command lifecycles.

MCP server for running shell commands on a Linux development board via UART serial.

MCP server for remote execution on Windows devices. Enables Codex to run PowerShell, manage files/processes, and capture screenshots via a relay and enrolled Windows agent.

Provides comprehensive computer control capabilities including shell commands, file operations, screen capture, keyboard/mouse input, window management, clipboard access, and system monitoring following the OODA loop pattern.

Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.

Enables AI agents to launch and manage system processes with strict security controls through executable allowlists, resource monitoring, and output capture capabilities.