"Security Tools for AI Websites" 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.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

A passive MCP server that exposes a toolbox of executable tools (shell, network, HTTP, AI search, SSH, S3 file operations) to autonomous agents via Streamable HTTP, with strong security features including Docker sandboxing and WAF.

Integrates 7 security tools (nmap, nuclei, dirsearch, sqlmap, hydra, Acunetix, Metasploit) via MCP protocol for AI-assisted penetration testing with enterprise-grade safety features.

An MCP (Multi-Agent Conversation Protocol) server that enables interaction with Google's Managed Service for Microsoft Active Directory through its OpenAPI, allowing users to manage identity resources through natural language.

Outbound-only remote shell, detached long-running jobs, and temporary file courier for AI agents. Hosted Streamable HTTP plus stdio via npx -y @aicommander/mcp.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

Percival Ubuntu is a security-focused MCP server for safe Ubuntu operations, optimized for the Nanobot agent. It enables file management and command execution under strict security policies.

Security-hardened MCP server that runs only allowlisted commands with no shell, jailed to a single directory, and bounded execution.

MCP server for managing multiple SSH servers via AI assistants, offering tools for remote command execution, file operations, and system monitoring.

A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.

MCP server to give every agent an ephemeral Linux sandboxes for executing shell commands.

Enables AI agents to execute SSH commands, read files, and list directories on remote hosts with a configurable command-safety policy.

An MCP server that provides sandboxed shell command execution with configurable security policies, enabling safe AI-assisted command runs within a project repository.

Advanced shell command execution for AI agents — a Model Context Protocol (MCP) server with security policy engine, process lifecycle management, bounded output capture, POSIX signals, and token-efficient responses.

Enables web ChatGPT to drive durable, sandboxed Claude Code sessions on a local Mac, with controlled read, modify, verify, and recover operations via six session control tools.

Enables AI assistants to execute terminal commands on a host machine with configurable, granular permission controls and safety protections. It features multiple security modes, including allowlists and manual approval, to ensure safe command execution within specified directories.

Unofficial Powershell MCP server

Bridges Claude Desktop to local Windows 10 development environments to enable repository reading, documentation searching, and isolated code execution. It provides a secure interface for running allowlisted terminal commands and scripts directly through natural language.

Enables secure command-line interactions on Windows systems with support for PowerShell, CMD, Git Bash, and WSL shells, providing controlled file access, command execution, and configurable security restrictions.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

SassyMCP is a comprehensive MCP server that replaces 75+ individual servers with one 34MB executable. It provides 274 tools for file operations, shell, desktop automation, GitHub/Git, Android interaction, network/security auditing, SSH, OCR, and Windows system management.

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

Bridges a remote, cloud-hosted agent to your local machine, exposing Pi's coding tools (read, write, edit, ls, grep, find, bash, powershell) rooted at a directory you choose. It also adds a human channel so the agent can message, question, and wait on you through tool calls instead of a platform chat UI, with OAuth 2.1 or bearer-token authorization and no persistence between runs.

Enables local macOS automation via the Model Context Protocol, allowing file operations, system monitoring, shell commands, clipboard access, and screenshots with configurable security restrictions.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

MCP server that provides AI access to a local terminal, enabling command execution, directory navigation, and system operations with persistent session state.

Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.

Enables local management of Raspberry Pi devices over SSH from VS Code, including status checks, remote file reads, systemd service inspection and control, command execution, and power actions with explicit opt-in security safeguards.

An MCP server that enables AI assistants to control iTerm2 sessions, windows, tabs, and profiles using the official iTerm2 Python API. It includes a security model with session tagging and tiered permissions to ensure safe and controlled terminal interactions.