"YouTube Shorts" matching MCP servers:

Zero-dependency MCP server for social media dimensions & first-party safe areas (Reels, TikTok, YouTube Shorts), encoder-safe aspect ratios, video bitrate math, SRT/VTT/ASS subtitle conversion, and BPM delay tables.

Enables AI agents to analyze public Reels, TikTok, and YouTube Shorts by extracting timestamped transcripts, visual understanding, and searchable video maps, then query specific moments via MCP tools.

Gives Claude, Cursor, and any MCP client 15 tools to create, schedule, and publish social posts to TikTok, Instagram Reels, YouTube Shorts, X, Threads, and LinkedIn. Also handles media import by URL or base64, webhooks, and per-platform analytics from the ViralNote API.

A keyless MCP server that lets agents search YouTube across multiple languages and queries, pull transcript highlights, ranges or query-matched passages, fetch real video frames, comments, chapters and channel outlier scores, all without an API key, OAuth or cookies. It also ships a research skill that plans multi-language queries, fans out to subagents, spot-checks quotes and reports coverage.

Enables AI agents to turn YouTube videos into downloadable audio files in formats like MP3, M4A, WAV, FLAC, and OGG (with optional clipping), and to retrieve existing captions as text, JSON, Markdown, SRT, or VTT. Uses your own RapidAPI key and supports job polling for longer conversions.

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.

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

Enables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.

A local stdio MCP server that gives Claude (or any MCP client) full programmatic control over a single YouTube channel, including video upload, channel management, comments, analytics, and more.

Enables fetching YouTube video transcripts as Markdown files with chapter indexing, so LLMs can read only relevant sections and save context.

YouTube outlier research on your own free Data API key. It ranks a channel's uploads by their multiple against that channel's own baseline, with Shorts and long-form scored separately, compares several channels at once, and expands a niche from a seed channel.

Connect AI assistants to YouTube: search, transcripts, metadata, and more.

A Model Context Protocol (MCP) server that gives AI assistants the ability to search, analyze, and extract knowledge from YouTube videos.

High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.

MCP server for extracting structured intelligence from YouTube channels and videos — transcripts, topics, and competitive signals for AI-powered research workflows.

MCP server that provides YouTube video data to AI agents, supporting search, metadata, comments, and transcripts without an API key.

Enables AI assistants to access YouTube organic analytics, including channel stats, video performance, watch time, and audience engagement, via the YouTube Data API v3 and Analytics API v2.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables extracting YouTube video transcripts, comments, and search results via MCP. Supports both Stdio and StreamableHTTP transports.

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.

Enables AI agents to search and rank YouTube videos by relevance and engagement, preview and adjust a candidate list, and create or manage playlists in the user's account with quota tracking and approval-gated writes.

Extracts and processes YouTube video content including transcripts, metadata, comments, and channel information for LLMs.

Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.

Enables Claude Code to retrieve YouTube transcripts, search videos and channels, fetch metadata, playlists, comments, trending videos, engagement analytics, chapters, SponsorBlock-cleaned transcripts, and most-replayed heatmaps.

Enables AI assistants to list, create, and modify playlists and their items, and to search for videos on a user's YouTube account through the YouTube Data API v3. Uses OAuth 2.0 with PKCE, quota-aware tools, and cached search results to keep daily API usage low.

Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.

MCP server for YouTube creator-ops — video metadata, comments, playlists, channel analytics, plus a ComfyUI bridge for AI thumbnail generation.

Enables AI assistants to fetch YouTube video transcripts and metadata without sign-in, and access signed-in users' own YouTube account data such as subscriptions, playlists, uploads, and caption tracks via OAuth 2.0.

Enables searching and playing songs via YouTube Data API v3, returning YouTube playback URLs.

Enables Claude Code to access YouTube features such as video transcripts, search, metadata, channel info, playlists, comments, trending videos, engagement analytics, chapters, SponsorBlock, and most-replayed heatmaps.