"A tool or method for obtaining YouTube video transcripts" 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.

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.

Provides MCP tools for fetching timestamped YouTube transcripts and top comments, scanning spreadsheets for video links, and a local web UI for grounded video summaries.

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

A keyless MCP server that lets agents search YouTube across multiple languages and queries, pull transcript highlights, ranges or query-matched passages, fetch real video frames, comments, chapters and channel outlier scores, all without an API key, OAuth or cookies. It also ships a research skill that plans multi-language queries, fans out to subagents, spot-checks quotes and reports coverage.

MCP server for extracting structured intelligence from YouTube channels and videos — transcripts, topics, and competitive signals for AI-powered research workflows.

Enables AI assistants to access YouTube organic analytics, including channel stats, video performance, watch time, and audience engagement, via the YouTube Data API v3 and Analytics API v2.

Enables AI agents to analyze YouTube channels and identify videos that significantly outperform the channel's median view count, along with channel search, video lookup, and trending tools.

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 MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Enables read-only research on YouTube by exposing video metadata, transcripts, comments, search, channels, playlists, and trending data through four task-oriented tools.

Enables AI assistants to analyze YouTube channels, videos, transcripts, and content strategy through structured tool calls.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables Codex to retrieve YouTube video dossiers, compare videos, access channel performance and retention curves, save analysis reports, and manage experiments through a stateless MCP endpoint.

Enables turning YouTube video URLs into timestamped, citation-ready transcript evidence, with optional search, comments, analytics, and cross-video comparison for MCP clients.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Evidence-first YouTube research server enabling search, transcript citation, video analysis, flashcards, and collateral generation for MCP hosts and VS Code.

Enables AI agents to generate duration-aware, fact-checked video scripts from topics or transcripts by exposing tools for live news/web research, article fetching, and transcript ingestion, plus resources and style prompt templates.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

An MCP server for researching YouTube niches. It searches videos, fetches metadata, calculates engagement metrics, downloads thumbnails, and produces aggregate niche statistics for analysis.