"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 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.

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

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.

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.

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.

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.

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 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.

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