"Using YouTube to obtain and summarize video content" matching MCP servers:

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.

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.

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

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.

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 agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.

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.

Enables Claude Desktop to interact with and view tmux session content, allowing AI assistants to read from, control, and observe terminal sessions.

Maps shell commands to standard MCP tools using single-file YAML specs.

MCP server for running shell commands on a Linux development board via UART serial.

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.

Using MCP to run code via e2b.

A lightweight MCP server for file manipulation, code searching, and shell command execution, with optional semantic search using local embeddings.

Enables a remote omp client to invoke the host omp's tools over HTTP using the MCP protocol, with no LLM API calls on the host.

Turns Markdown files into local MCP servers, enabling users to define and run tools using simple Markdown syntax with zero dependencies.

Provides utilities for formatting multi-line shell commands with backslashes for safe pasting and reading system clipboard content.