"How to perform commands in a terminal" matching MCP servers:

Enables AI agents to control a Live2D desktop pet's expressions and actions via MCP protocol.

A Model Context Protocol (MCP) server that allows Claude Desktop to send documents directly to your Kindle e-reader.

Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

Two prediction examples in the Alink tutorial: input a year to predict GMV; input a piece of feedback to analyze its sentiment (positive/negative).

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

Lets an MCP client read comment threads on your own YouTube channel, prepare replies, moderate or hide comments, and query YouTube Analytics reports. Every publishing or moderation action is held for explicit user confirmation before it takes effect.

A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.

Youtube, readable in AI chats.

Enables AI to send expressive stickers based on conversation context, with a built-in UI for managing stickers.

Lets Claude write and run short JavaScript programs against the YouTube Data, Analytics, and Reporting APIs, plus transcripts and search autocomplete, so multi-step channel tasks like joining upload stats with analytics finish in a single round trip. Code executes in a sandboxed isolate with quota tracking and confirmation gates for destructive or public actions.

14 tools for AI agents: transcript extraction in five formats with adjustable segment size, video metadata, video and channel search, channel browsing, in-channel search, playlists, and an asynchronous batch job for up to 4,000 transcripts. Free tier: 100 credits on signup, no card.

MCP server for reading YouTube subtitles without authentication or external binaries, using YouTube's internal get_panel endpoint to avoid rate limits and fetch full subtitles in a single request.

An MCP server that lets an AI assistant control a Kodi media player over Kodi's JSON-RPC API — transport, volume, library search, queue management, and playback history. Written in C on the GLib stack.

Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.

An MCP server that enables highly personalized music recommendations from TIDAL based on custom criteria, allowing users to create and manage playlists directly in their TIDAL account.

Enables searching, managing playlists, getting recommendations, and downloading music from TIDAL through natural language commands via the Model Context Protocol.

A MCP server that implements sequential thinking protocols, provides structured problem-solving methods, decomposes complex problems into manageable steps, and supports iterative optimization and alternative reasoning paths.

Every movie showtime in San Francisco — repertory houses, single-screen neighborhood theaters, 35mm/70mm prints, and the chains — verified against each theater's own box office, with a published accuracy record. Nine read-only tools; hosted endpoint at https://scenef.com/mcp (no key), with a bundled mcp-remote bridge for stdio clients.

The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.

A server that lets you get customized music recommendations from TIDAL based on your specific criteria, allowing you to create new playlists directly in your TIDAL account.