"A server for connecting AWS infrastructure to a real-time AI-powered dashboard" matching MCP servers:

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.

Enables AI assistants to execute AWS CLI commands and access AWS documentation, resources, and prompt templates through the Model Context Protocol with support for Unix pipes and secure Docker-based deployment.

Enables AI agents to manage virtualization, Active Directory, Windows hosts via WinRM, PostgreSQL databases, and shell/SSH environments through Model Context Protocol tools.

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.

Connects AI assistants to AWS infrastructure through AWS IAM Identity Center for secure, natural language management of cloud resources across multiple accounts. It enables users to execute AWS CLI commands, monitor resources, and run remote shell commands on EC2 instances via Systems Manager.

An MCP server that enables Claude to generate and execute AWS CLI commands, allowing users to manage AWS resources through natural language conversations.

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 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.

It enables AI assistants to run installed command-line tools and scripts, drive persistent terminals and browsers, and retrieve saved jobs, screenshots, and other evidence on a server. It also provides a dashboard for tracking sessions, installed tools, and connection settings.

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.

Unofficial Powershell MCP server

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

TaskFlow AI is a premium MCP Server designed for AI editors, offering 40+ built-in tools covering file system, HTTP requests, databases, Git operations, and more.

Self-hosted MCP coding server and unified local Control Center for ChatGPT web, enabling file editing, command execution, Git operations, and optional upstream MCP tools with conversation access controls.

Enables AI agents to securely access authenticated services (HTTP, SSH, SMTP) without exposing secrets, by acting as a server-side proxy that injects authentication.

Multi-threaded terminal management MCP server for AI assistants, enabling async command execution, batch operations, and real-time web monitoring with up to 100 concurrent terminals.

Enables managing Linux hosts and local coding agents from an MCP client through shell commands, files, background jobs, system information, instruction and skill discovery, and optional Claude Code, Codex, or Cursor CLI conversations. It provides privileged remote access with token authentication and can run longer work in the background.

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.

Lets an AI agent work on a real Commodore Amiga over the home network: AmigaDOS Shell, files, ARexx, screenshots, mouse and keyboard, and windows, gadgets and menus by name. Includes a remote desktop to watch and take over, tuned for 68000 machines and slow links.

Enables authenticated access to an SSH server fleet and RAG knowledge base through MCP tools, with read-only checks running automatically and risky operations requiring human approval. Supports target registry IDs, policy enforcement, credential management, and hybrid knowledge search.

Local SSH credential broker and stdio MCP server that enables AI clients to perform SSH and SFTP operations via stable server_id aliases without exposing passwords, private keys, or passphrases.

Enables AI clients to securely operate a local machine via MCP or REST, providing file read/write, Playwright browser automation, and shell/service administration.

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.

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

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

An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.

Enables SSH remote command execution on any host using the system ssh binary, supporting existing configurations like ssh-agent, ProxyCommand, and jump hosts.

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