"YouTube Shorts" matching MCP servers:

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.

Exposes public YouTube data — transcripts with timestamps and language listings, keyword search, video metadata and statistics, comments, channels, channel uploads, and categories — as read-only tools an LLM can call over stdio. It runs as a single local process using only a YouTube Data API key, with SQLite caching, quota tracking, and no OAuth or account access.

Fetches YouTube video transcripts, using free captions when available and falling back to Gemini-based transcription for missing or broken captions.

A production-ready MCP server for YouTube integration with intelligent caching. Enables searching videos, retrieving transcripts, analyzing channels, and monitoring live streams via natural language.

Enables AI agents to search videos, retrieve metadata and transcripts, pinpoint exact moments via hybrid semantic search, and conduct multi-video research with timestamp deep links—all without YouTube API keys.

An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.

Enables AI agents to fetch, search, and summarize YouTube video transcripts via tools, resources, and prompts.

Unifies YouTube transcripts, YouTube search, and Google NotebookLM into a research pipeline for Claude Desktop and MCP clients.

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.

YouTube from an MCP server or the ytk CLI: search and read any public video, channel, playlist or comment, and manage your own channels: analytics, uploads, metadata, playlists and comment moderation.

Enables managing an entire YouTube channel from MCP clients, including uploading and scheduling videos, editing metadata, moderating comments, organizing playlists and captions, updating branding, and querying analytics through official YouTube APIs.

This server enables comprehensive management of an entire YouTube channel. It allows users to automate publishing, scheduling, metadata handling, comments, and analytics using various AI agents.

Enables AI assistants to research YouTube videos by collecting captions, comments, and channel information for analysis and comparison.

Transcribe YouTube videos for LLM chat applications. Supports fetching transcripts in multiple languages and includes an ad-removal instruction.

Turn any YouTube video, article, PDF, or image into a reusable Claude Code skill — without leaving your editor.

MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

Enables agents to turn public video links into timestamped transcripts, chapters, and clip suggestions for YouTube, Twitch, Kick, and TikTok.

MCP server for AI-powered web research — search (Google, Brave, Serper, SearXNG), scrape any page, extract PDFs/DOCX/YouTube transcripts, academic & patent search. Single Go binary. Works with Claude, Cursor, Copilot, and any MCP client.

Converts recipes from any source (web, YouTube, Instagram, etc.) into Thermomix format with guided cooking steps and uploads them to Cookidoo.

MCP server that lets you search and list YouTube channel videos, fetch video details, and extract transcripts with timestamps using natural language.

Remove vocals, extract instrumentals, and split any song into up to six stems — directly from Claude Desktop, Cursor, or any MCP client. Supports local audio files, YouTube URLs, and SoundCloud track

Enables AI agents to inspect, plan, download, and postprocess media from YouTube and other sites using yt-dlp, with safety and full option support.

Enables semantic search over per-video summaries from curated AI/coding YouTube channels using the AI YouTube Digest API.

Enables AI assistants and agents to connect directly to Google NotebookLM through its high-performance internal RPC calls. Provides grounded RAG chat with citations, notebook and source management (URLs, YouTube, Drive files, text), Audio Overview generation and download, persistent session handling, and automated Deep Research.

Enables AI assistants to fetch YouTube video metadata, chapters, and timestamped transcripts (including paginated and language-specific caption retrieval) so they can produce summaries, study notes, comparisons, and source-referenced answers. The returned transcript evidence also carries explicit coverage status, letting the assistant know when a transcript is partial or unavailable.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Enables extraction of content from various web sources including webpages, YouTube transcripts, tweet threads, PDF files, and public Google Docs. It provides specialized tools to convert internet resources into markdown or text for model consumption.

A FastMCP-based service that extracts no-watermark links from 20+ video platforms (including TikTok, Kuaishou, etc.) and can convert video speech to text.

Enables AI assistants to query workouts, activity history, training load, VO2Max progression, recovery metrics, and social feeds from Sports Tracker.

Control any smart TV with natural language — play Netflix/YouTube/Spotify by name, cast URLs, scene presets, multi-room audio, and multi-TV sync. Supports LG, Samsung, Android TV, Roku.