"YouTube Shorts" matching MCP servers:

Agent-first YouTube Shorts uploader with dry-run validation, OAuth checks and synthetic-media metadata.

Enables automated posting of videos to YouTube Shorts and Instagram Reels with OAuth 2.0 authentication, file validation, and comprehensive video processing capabilities. Provides MCP-compatible tools for seamless social media video uploads through a FastAPI server.

Enables local, self-hosted YouTube Studio and Analytics access through MCP, including public channel snapshots, Shorts experiment tables, private analytics, video draft uploads, updates, and comments.

An MCP server that enables discovery and analysis of trending YouTube Shorts using natural language. It provides tools to track viral metrics like Views Per Hour (VPH), identify niche trends, and summarize video content through the YouTube Data API.

YouTube MCP by SocialDataX for video search and details, comments and replies, channel profiles and uploads or Shorts, and speech-to-text transcripts.

Enables MCP-compatible AI clients to download comments from YouTube videos, Shorts, live streams, playlists, channels, and community posts; check and list downloads; retrieve files in JSON, CSV, HTML, XLSX, TXT, or ZIP; and get video transcripts and channel details.

Enables researching YouTube channels and videos by listing uploads, reading transcripts, extracting frames, and searching, without needing a YouTube API key.

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.

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.

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.

MCP server that extracts YouTube video transcripts, supporting multiple languages and URL formats, for use with AI agents.

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

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 assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.

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.

Allows AI agents to fetch, search, and summarize YouTube video transcripts without an API key, including chapter summaries.

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.

Fast, minimal YouTube 'watch' engine for AI agents that extracts clean transcripts, searches, and slices any YouTube video without requiring an API key.

Local-first MCP server that turns long videos into captioned vertical Shorts (face-tracked 9:16 clips, active-speaker cuts, animated captions) or generates Shorts from a topic. Tools: generate_short, extract_clips, generate_social_package, get_render_status, list_supported_modes.

A hosted Model Context Protocol server providing read-only YouTube tools for search, video/channel data, and transcripts, with no Google Cloud project or API key required.

AI tools for short-form video creators (TikTok, Instagram Reels, YouTube Shorts, Facebook Reels) — viral trend search, video analysis info, content strategy use cases.

MCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.

Provides production-grade tools for YouTube channel resolution, video metadata extraction, transcripts, and playlist management. It features a quota-aware, AI-friendly design that supports structured searching and listing of public YouTube data.

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.