"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

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.

An MCP server that enables AI assistants to execute NetExec network penetration testing commands via SSH to a Kali Linux machine, supporting protocols like SMB, WinRM, SSH, LDAP, and more.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

A Model Context Protocol (MCP) server for Gobuster that enables AI assistants to perform directory/file, DNS, virtual host, S3 bucket, and TFTP enumeration on a remote Kali Linux host via SSH.

Enables AI assistants to perform Active Directory reconnaissance by enumerating users, groups, computers, trusts, and password policies using ldapdomaindump on a remote Kali host via SSH.

Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.

The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

This MCP server enables AI assistants to control Ligolo-ng operations on a remote Kali Linux machine via SSH, providing tools for managing proxy, agents, tunnels, routes, and listeners for network pivoting during security assessments.

Enables AI assistants to manage Empire listeners, stagers, agents, modules, and credentials via the Empire REST API.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

Enables AI to execute registered system commands across platforms using a stable program + args interface, without requiring shell-specific syntax or tool discovery.

MCP Bridge is a local-first Linux/Windows desktop app connecting ChatGPT to approved files and Chrome through authorized OpenAI tunnels, with optional shell tools. The Glama-hosted v0.1.0 release is a restricted READ-ONLY documentation demo: five tools can access only bundled public examples, not your computer, browser, credentials, shell, or files.

Enables AI models to run interactive tmux terminal sessions that a human can watch and type into, with all output logged and split into searchable per-command regions so only needed lines enter context. Also guides models through unfamiliar tools by returning exit statuses and key output alongside advice on the tool being used.

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.

An MCP server that enables large language models to connect to remote servers via SSH, execute commands, and transfer files securely.

Enables AI agents to read terminal output, run commands, switch sessions, and follow native SFTP uploads by connecting to a locally running Termius via its debugging interface. Provides explicit session IDs, command-output markers, and native transfer status to replace repeated screenshots and clicks.