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

Enables searching and reading local Cursor, Claude Code, and Codex session transcripts from any MCP client, with fuzzy, regex, and full-text search, plus optional semantic search.

An MCP server that indexes plain-text podcast transcripts stored in Dropbox and makes them searchable inside Claude Code.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Provides YouTube video transcripts (text and metadata) as MCP tools for AI hosts like Claude Code, enabling summarization, search, and Q&A without watching the video.

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.

An MCP server that searches and downloads royalty-free images from Pixabay by keyword, with support for custom image size and safe search.

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.

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

Enables AI assistants to search and retrieve YouTube videos, channels, playlists, and transcripts through the Model Context Protocol.

Provides 22 read/write tools to search and retrieve YouTube videos, channels, playlists, comments, trending, and related content, and works with any MCP client.

Provides read-only MCP tools to search YouTube, retrieve video metadata, transcripts, comments, channel information, and popular videos.

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 an AI agent to list, read, and search local meeting transcript files, returning structured transcript information and search hits. The server enforces read-only access confined to a transcripts directory with .txt and .md files only.

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

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

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

MCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.

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

High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.

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

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.

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.

Production-grade Model Context Protocol server for YouTube intelligence. Extract, analyze, and automate insights from YouTube channels and videos using the official YouTube Data API v3. Built for AI agents, automation pipelines, and content intelligence workflows.

Enables AI tools to access YouTube content, including transcript extraction, video/channel info, and search.

Enables AI language models to interact with YouTube content through the YouTube Data API, including retrieving video details, transcripts, channel information, playlists, and searching videos with enhanced responses that include direct URLs.

Retrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.

Enables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.

An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.