"YouTube Shorts" matching MCP servers:

Enables researching YouTube channels and videos by listing uploads, reading transcripts, extracting frames, and searching, without needing a YouTube 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 turning YouTube video URLs into timestamped, citation-ready transcript evidence, with optional search, comments, analytics, and cross-video comparison for MCP clients.

Provides YouTube video transcripts as structured JSON, including timestamped captions and plain text, through the Apify YouTube Transcripts API. Supports single or batch video URLs across multiple formats.

A read-only MCP server for discovering YouTube outliers, analyzing viral Shorts, and evaluating single-video performance using stored snapshots.

BYOK Reddit/YouTube research CLI with a tamper-evident, hash-chained audit log. Includes an MCP server for agent-native use.

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 assistants to retrieve public TikTok, Instagram, and YouTube stats, profiles, recent posts, and YouTube transcripts through read-only tools.

Enables querying YouTube gaming opportunity rankings to answer 'what should I record?' by providing tools for top games, game breakdowns with AI video ideas, and live topic checks.

Enables building a local, searchable knowledge base from YouTube videos, with research, transcript retrieval, and timestamped citations.

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.

Enables AI agents to search YouTube like a database, retrieve transcripts and channel data, and mine videos for claims, numbers, and demand signals — without needing an API key.

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.

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

Local MCP server that indexes public YouTube captions into a searchable SQLite FTS5 database, enabling timestamped search and transcript retrieval without an API key.

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.

MCP server for YouTube channel deep analytics, extracting transcripts and computing quantitative metrics like WPM, profanity, and humor taxonomy, with multi-creator comparison dashboards.

An MCP server for researching YouTube niches. It searches videos, fetches metadata, calculates engagement metrics, downloads thumbnails, and produces aggregate niche statistics for analysis.

Save YouTube transcripts, podcasts, and articles to a local knowledge base your AI can search and cite with timestamps. YouTube captures keep the transcript, frames, and comments as Markdown and JSON on your disk. Needs the Uoink app for Windows 10/11; agents connect through its local MCP server.

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

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

Social media search and analytics across X, Reddit, Bluesky, YouTube, LinkedIn, Facebook, Instagram, and Weibo via the Rolli IQ AP

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 analyze YouTube channels, videos, transcripts, and content strategy through structured tool calls.

YouTube comment social network analysis (SNA): influencer centrality ranking, community detection (Louvain algorithm), sentiment analysis, and AI-generated insights via public JSON API.

A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.

Research and analysis toolkit offering real-time data access via MCP, including web search, stock prices, YouTube transcription, weather, and Toronto crime statistics.

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

Provides hosted trend data MCP server for querying Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and 30+ trend sources in natural language from any MCP-compatible AI.

Serves a daily board of cryptocurrency YouTube commentary—coin calls, stances, and dated catalysts—through MCP tools like latest_board and search, with optional paid testnet endpoints for coin details, stance history, and catalyst queries.

Enables querying live cross-platform gaming market data — Steam players, Twitch/YouTube viewership, prices, discounts, hype, and the aggro metric — through 8 read-only tools for summaries, rankings, genre rollups, game details, and search.

Enables agents to research and analyze public short-form video content on Instagram Reels, TikTok, and YouTube Shorts for trend spotting, creator research, competitive briefs, and content ideation.

Enables AI agents to research YouTube sponsors, inspect brands and their video evidence, explore overlapping creators and similar brands, manage research lists, and work with verified contacts.

Enables Codex to retrieve YouTube video dossiers, compare videos, access channel performance and retention curves, save analysis reports, and manage experiments through a stateless MCP endpoint.

Enables real-time search across Google, News, Reddit, YouTube, and Amazon using Scavio's unified API, with secure key injection for Arcade agents.

YouTube transcript search and monitoring for your AI: exact quotes, full transcripts and speakers.

Combines YouTube subtitle extraction, Wikipedia concept lookup, and arXiv paper search into one pipeline without any API keys, enabling generation of comprehensive study notes from a single YouTube URL.

Provides MCP tools for fetching timestamped YouTube transcripts and top comments, scanning spreadsheets for video links, and a local web UI for grounded video summaries.

An MCP server that exposes Wikipedia page view trends as clean JSON, providing normalized 0-100 trend scores, growth rates over 3M/6M/12M/5Y windows, and live most-viewed article feeds, comparable across 15 sources including Google, YouTube, and TikTok.