"YouTube" matching MCP servers:

Enables AI clients to search YouTube, fetch video transcripts, and generate transcript-grounded research briefs using MCP tools.

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

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.

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.

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

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 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.

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.

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

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.

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

Evidence-first YouTube research server enabling search, transcript citation, video analysis, flashcards, and collateral generation for MCP hosts and VS Code.

Enables any MCP client to score, rank, tag, and cluster user-supplied video candidates using a competitor-intelligence engine that blends velocity, outlier, engagement, and demand-gap signals into an opportunity score. It performs no fetching itself and needs no API key, so callers bring their own candidate data and receive annotated, sorted results.

A local, privacy-first MCP server providing direct access to official YouTube Data, Analytics, Reporting, and Live Streaming APIs for creators, enabling channel analysis, research, and guarded management operations.

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

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.

Give your AI the ability to find who said what with timestamps, discover what’s being discussed across videos and livestreams, and distinguish organic recommendations from sponsored ad reads.

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

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.

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.

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

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

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