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 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.
Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.
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.
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.
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.
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.
A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.
Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.
An MCP server that lets AI agents list sessions, read terminal screens, type commands, and run commands (with optional waiting for exit status) in Rex terminal blocks on the local machine through the rex CLI. It exposes a single allowlisted passthrough CLI tool plus a guide tool, deliberately excluding destructive or cross-host operations.
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.
A Model Context Protocol server that lets Windows-side AI agents operate on WSL distributions like a local environment, providing file read/write/edit, command execution, process management, log streaming, and content search via UNC paths and persistent shells.
Gives MCP-compatible AI agents a full local terminal over stdio, enabling shell command execution, file reads and writes, content search, background processes, and stateful tmux sessions with variable capture, auditing, and a configurable command denylist. Requires no deployment or cloud setup.
This MCP server enables AI agents to run a restricted set of Unix commands, manage files within a sandboxed working directory, apply patches, and fetch web content, providing controlled local automation without full shell access.
Enables Claude to execute PowerShell commands and scripts in a persistent interactive terminal on Windows, with real-time output streaming to a web terminal.
Enables AI agents and humans to read and write a git-backed knowledge base through isolated sandbox sessions, with tools for creating and closing sessions, running shell commands, listing sessions, and retrieving guide documents.
Enables web-based AI chat clients and local IDEs to securely operate a user's own machine through one OAuth-gated MCP endpoint, exposing 38 governed tools for file read/write/edit, whitelisted shell commands, content search, Git, SQLite, browser automation, DevTools, background tasks, localhost fetching, ports, clipboard, notifications, and Postman control. Access is confined to user-approved folders and a strict command whitelist, so remote clients can build projects, inspect databases and local APIs, and drive browser workflows without unrestricted shell access.
Enables an MCP client to run commands and inspect or edit files across multiple named SSH hosts through a single local connection, keeping terminal state between calls and reading long output a page at a time. It reports honest exit statuses and handles router CLIs and pagers such as --More-- without dumping whole logs into the conversation.
Enables an MCP client to start and drive terminal processes, read and write files, make exact-match text edits, move files, inspect metadata, and paginate through local file-content searches. It also exposes configuration, prompt, usage and recent-call tools alongside those filesystem, search and process capabilities.
MCP server that enables AI to see and control a physical computer via a JetKVM device for screen viewing, mouse/keyboard input, media mounting, and power management.