"Understanding Attack Surface Management" matching MCP servers:

Enables AI agents to efficiently manage and monitor background processes, with features like process startup, termination, log retrieval, and resource management.

AI-powered Attack Surface Intelligence server that exposes industry-standard penetration testing tools via MCP, enabling AI agents to perform comprehensive security assessments.

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output

Enables AI assistants to manage remote servers via SSH with agentless command execution, file operations, and service management.

Enables AI agents to control virtual computers through Orgo, supporting computer management, screen actions, shell commands, file operations, streaming, and AI completions.

Docker container, image, volume, network, and compose management from your AI assistant.

Enables management of GNOME Boxes virtual machines through libvirt/virsh with lifecycle and snapshot operations.

MCP server for controlling Ghostty terminal emulator, enabling configuration management, theme control, command execution, and window management.

Provides comprehensive Android device management capabilities through ADB, including device management, app management, file operations, and system monitoring.

Enables management of OpenWrt routers via SSH, providing tools for network configuration, system administration, file operations, and package management through natural language.

Enables MCP clients to interact with the MystoraX Conductor for routing, surface management, and goal submission via HTTP and native plugins.

Enables remote management of TR-069 ACS (Auto Configuration Server) via SSH, including device management, configuration deployment, script execution, and server lifecycle control.

Enables secure remote and local command execution via SSH, with session management and environment variable support.

Enables LLMs to perform Active Directory penetration testing using tools like NetExec, Bloodhound, Nmap, Certipy, and John the Ripper. Automates vulnerability discovery, attack path analysis, and documentation generation for security assessments.

Enables LLM clients to execute shell commands safely through the MCP protocol, with features like session management, safe mode, and process control.

Enables LLM interactions with Juniper Junos network devices, allowing natural language access to device configuration, monitoring, and management operations through secure SSH connections.

Exposes DuploCloud infrastructure management as MCP tools by dynamically discovering duploctl commands, enabling AI agents to query state and perform auditable actions.

Exposes conda environment management tools to MCP-enabled AI coding assistants, enabling them to create, modify, and delete environments and packages on your machine.

AI-powered command execution and tool plugin framework with secure Python evaluation, knowledge management, and web dashboards.

Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.