"How to Get Transcripts from YouTube Videos" matching MCP servers:

Enables retrieval of YouTube video titles and transcripts/subtitles through an MCP interface backed by a headless Playwright browser, with optional persistent login/session and stdio or HTTP streaming transports.

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

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

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

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

Enables AI assistants to search videos, read channels, browse playlists, fetch comments, and get transcripts from YouTube using the YouTube Data API v3 and InnerTube API for captions.

Enables agents to discover how a website serves its data, verify sources with evidence, export OpenAPI 3.1, and generate tested TypeScript or Python clients.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

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.

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

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

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 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.

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.

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

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.

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 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.

An MCP server that enables AI applications to search YouTube music videos and manage playlists via the YouTube Data API v3, with OAuth support for playlist and subscription management.

A minimalist MCP server that fetches transcripts from YouTube videos using the Supadata API.

Enables managing a YouTube channel from Claude by listing, searching, editing, and organizing videos and playlists while retrieving channel, video, and thumbnail insights.

Enables YouTube video upload, metadata updates, thumbnail management, stats retrieval, and analytics via the YouTube Data API v3 and Analytics API using OAuth 2.0.

Builds a searchable knowledge base from YouTube video transcripts with hybrid semantic and keyword search. Allows LLM assistants to search, organize, and retrieve timestamped information from videos you've watched.

MCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

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