"YouTube Shorts" matching MCP servers:

Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.

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.

Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.

Enables users to extract, search, and analyze YouTube video transcripts directly within MCP-compatible clients. It supports advanced features like time-chunked summaries, keyword searching with surrounding context, and batch processing for multiple videos.

Enables AI assistants in MCP clients to turn long videos from YouTube, VK Video, RuTube, Dzen, Twitch, Yandex Disk, Google Drive or direct links into captioned vertical Shorts/Reels, transcripts and articles, returning links to the finished clips. It also exposes read-only modes and job quoting so clients can inspect sources and estimate credit usage before creating anything.

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.

Enables fetching YouTube transcripts, searching videos, and listing channel/playlist videos via the TranscriptFetch API.

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

Enables AI agents to read transcripts of any public video, research channels, analyze performance, read comments, and manage multiple owned channels.

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

Enables YouTube video search and audio download via web scraping, requiring no API key.

A comprehensive MCP server that provides Claude AI with full access to YouTube content, including searchable transcripts, metadata, comments, and playlists. It uniquely supports capturing video screenshots and extracting audio clips for analysis across both local and remote platforms.

Enables AI agents to analyze YouTube channels and identify videos that significantly outperform the channel's median view count, along with channel search, video lookup, and trending tools.

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.

Self-hosted AI clipper: long-form video to vertical shorts with face-tracked reframing, verified filler cuts and captions.

A powerful MCP server for summarizing YouTube videos with transcript fetching, intelligent summarization, key point extraction, and metadata retrieval.

Fetches YouTube video subtitles and transcripts with support for multiple languages and output formats (SRT, VTT, TXT, JSON).

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

Enables MCP clients to list available caption languages, fetch publicly available YouTube caption tracks with timestamps, and request client-assisted summaries without transcribing audio.

Enables YouTube integration with Claude Code, including video search, metadata retrieval, transcript fetching, channel exploration, and trending videos.

An MCP server for intelligent YouTube video analysis that provides token-optimized summaries, sentiment analysis, and entity extraction from transcripts. It enables AI assistants to perform video reporting, channel monitoring, and comprehensive YouTube searches through structured data tools.

Enables AI assistants to access live YouTube data, including video search, transcripts, analytics, competitor research, SEO metadata, and creator monetization insights through the YouTube Data API and RSS feeds.

MCP server for YouTubeTranscript.dev — extract transcripts, manage history, and power AI assistants with YouTube content.

Enables read-only research on YouTube by exposing video metadata, transcripts, comments, search, channels, playlists, and trending data through four task-oriented tools.

Enables AI assistants to search YouTube videos using the official YouTube Data API v3, extract full video transcripts in multiple languages, and store/retrieve video summaries using a local database.

Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.

Upload-Post is the all-in-one social media MCP server the Model Context Protocol server for social media publishing, scheduling and analytics. Connect any MCP-compatible AI agent (Claude, Cursor, ChatGPT, Claude Desktop, n8n, and more) and publish, schedule and analyze content across 13+ social networks from one API: TikTok, Instagram, YouTube, YouTube Shorts, Instagram Reels, LinkedIn, Facebook

Bridges YouTube API and AI assistants, enabling video analysis by downloading and processing closed captions to create summaries of YouTube videos.

Enables AI assistants and MCP clients to fetch YouTube video captions with timestamps, title, channel, and available languages, and to export transcripts as text, SRT, or WebVTT. It works with watch, Shorts, youtu.be, embed links, or bare video IDs without an API key.

Enables AI assistants to create finished short-form videos with script, voiceover, scenes, captions, and music, delivering an MP4 ready for TikTok, Instagram Reels, and YouTube Shorts.

Enables Claude to inspect your YouTube playlists for recently added videos and retrieve new items since the last check, powering daily automation that schedules videos into calendar slots.

MCP server that connects AI agents to real YouTube channel analytics and SEO management via OAuth, enabling content strategy, metadata updates, and companion WordPress posts without leaving the agent.

Enables Claude to directly analyze YouTube channel performance by fetching real metrics such as views, watch time, retention, traffic sources, reach/CTR, and comments via YouTube APIs.

Enables MCP-compatible assistants to retrieve caption text from YouTube videos as either plain text or timestamped snippets for reading, summarizing, or searching. Supports local stdio and stateless HTTP deployments for integration with Claude Desktop, Claude Code, Cursor, and similar clients.

Enables turning YouTube video URLs into timestamped, citation-ready transcript evidence, with optional search, comments, analytics, and cross-video comparison for MCP clients.

A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.

Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.

Enables AI assistants to run customized YouTube searches, combining relevance and view-count rankings to surface videos that are both on-topic and popular, and to fetch detailed metadata for known videos by ID or URL. Deploys as a remote Streamable HTTP server on Google Cloud Run or Cloudflare Workers.

Enables read-only, owner-authorized access to official YouTube Data and Analytics APIs for a single channel, with tools for channel overviews, daily performance, top videos, traffic sources, video performance, and audience retention.