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

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.

Enables users to stream or download YouTube video information and direct links via the Ytstream API. It supports geographic optimization and language selection for better download speeds and audio availability.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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.

Provides an MCP interface to the Prism Videos API, enabling character management, template browsing, generation status polling, and downloading completed video generations.

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

Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

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.

An MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.

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.

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.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

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 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.

MCP server for YouTube that provides tools to fetch video metadata and transcripts, enabling natural language queries about YouTube videos.

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

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.

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.

An MCP server that searches booru image boards and cleans their tags into ready-to-use AI-art prompts for Stable Diffusion and similar models.

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

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.

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

Enables Claude to fetch the spoken text of YouTube videos from any URL or video ID, listing available captions and languages and paging through long transcripts. It also handles proxy configuration to work around YouTube IP blocks.

A FastMCP server providing 25 tools for interacting with the YouTube Data API v3 and YouTube Analytics API. It enables comprehensive management of videos, channels, playlists, and comments, alongside retrieval of performance analytics.

A zero-config server that enables searching YouTube videos, retrieving transcripts, and browsing channel data without requiring API keys. It allows users to search across a creator's entire content library to find specific passages and timestamps.

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.