"Using YouTube to obtain and summarize video content" matching MCP servers:

Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Gives MCP clients access to YouTube video transcripts and metadata. It lets AI agents read and summarize video content from a URL.

SERP-based content scoring and optimization with 7 SEO categories.

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

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.

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

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

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

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 Claude Desktop to fetch full YouTube video transcripts from any URL, so users can summarize, translate, or cite video content without API keys or downloads.

A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.

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.

MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

A hosted Model Context Protocol server providing read-only YouTube tools for search, video/channel data, and transcripts, with no Google Cloud project or API key required.

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.

Fetches your YouTube Watch Later playlist using yt-dlp with browser cookies, bypassing YouTube API limitations. Also supports downloading video subtitles.

Enables AI agents to retrieve YouTube transcripts, video info, channel video lists, and monitor channels for new uploads, with built-in prompt templates for summaries and industry signals—all without an API key.

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.

Enables competitor content analysis by scraping pages, extracting keywords, identifying content gaps, comparing headings, scoring readability and quality, checking SERP features, and clustering competitors.