"YouTube" matching MCP servers:

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.

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

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.

Gives Claude access to YouTube features such as transcripts, search, video and channel stats, comments, playlists, and trending videos, with optional API key for full functionality.

Enables Claude to control a YouTube channel through MCP, including uploading and editing videos, scheduling releases, and reading channel and video analytics via official APIs.

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.

A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.

Enables YouTube search, video details, channels, playlists, and comments scraping via MCP, no API key required.

A local-first MCP server for inspecting and managing a creator-owned YouTube channel, using Google's official YouTube Data API v3 and Analytics API.

Enables an AI assistant to fetch a YouTube video's captions on demand, returning every line prefixed with its start time so the assistant can quote the video and point to the exact moment something was said.

Local YouTube MCP server for turning public video, channel, and playlist URLs into structured context, with bounded comment retrieval, timestamped captions, and owned-playlist management using your own Google Cloud credentials.

YouTube from an MCP server or the ytk CLI: search and read any public video, channel, playlist or comment, and manage your own channels: analytics, uploads, metadata, playlists and comment moderation.

Local read-only MCP server for YouTube Data API v3 and YouTube Analytics API, enabling public video searches and OAuth-based private channel reads.

Enables AI assistants to search YouTube, manage a channel, read analytics, and handle uploads, playlists, captions, comments, and moderation while requiring explicit approval for every change.

Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.

An MCP server for authenticated YouTube writes, enabling video uploads, caption tracks, playlist management, and metadata edits with safety guards and async jobs.

Enables MCP clients to manage multiple named YouTube accounts through one local stdio server, covering video upload and scheduling, metadata, captions, playlists, comments, live broadcasts and chat, channel branding, and analytics reporting via the official Google APIs. It also offers optional FFmpeg-based local media tools for probing, muxing audio, normalizing loudness, trimming, burning subtitles, and extracting thumbnails.

Enables AI agents to fetch transcripts, metadata, and download videos/audio from YouTube without API keys.

Enables turning public YouTube videos into full text and a short summary by having Gemini watch the video through its documented YouTube-URL input, with no downloading or caption scraping. Digests are cached in SQLite by video id, so repeated requests are free, and stored videos can be listed or searched with full-text queries.

A local MCP server for extracting YouTube video transcripts, metadata, and performing visual analysis using Gemini Vision or local Whisper models. It enables users to process video content through various tools for subtitle retrieval and frame analysis.

Enables managing a YouTube channel through natural language: upload videos, edit metadata, set thumbnails, run pseudo A/B thumbnail tests, and pull analytics.

Enables AI-powered YouTube content management using Claude Code to orchestrate research, scripting, and scheduling via Google Sheets, Docs, and Drive.

Enables natural-language access to YouTube features such as transcripts, search, metadata, channels, playlists, comments, trending videos, engagement analytics, chapters, SponsorBlock filtering, and heatmaps.

Enables AI agents to obtain verbatim timestamped YouTube audio transcriptions and extract native HD keyframes at exact moments, along with video metadata, channel listings, and Groq quota health checks.

Enables an MCP-capable app to search, play and control the YouTube Music session the user is already signed in to in their own browser — playing songs or saved playlists, choosing from a full result list, skipping and pausing playback, and reading what is currently playing — with no API keys, separate profile or screenshots.

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.

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

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.