"How to find or generate 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.

Stop your AI agent from rebuilding what already exists. MCP server that checks GitHub, npm and Python repos for maintained alternatives before you scaffold.

Thin HTTP wrapper for the Generate-Data.com API, enabling data generation, schema proposal, and field type listing through MCP tools.

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.

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.

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

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 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 login-gated access to FindData's crawled business data, enabling users to read indicators over time, list concepts, search via natural language, and run graph queries.

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.

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

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

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

Enables AI assistants to research YouTube videos by collecting captions, comments, and channel information for analysis and comparison.

Enables any MCP client to score, rank, tag, and cluster user-supplied video candidates using a competitor-intelligence engine that blends velocity, outlier, engagement, and demand-gap signals into an opportunity score. It performs no fetching itself and needs no API key, so callers bring their own candidate data and receive annotated, sorted results.

A local, privacy-first MCP server providing direct access to official YouTube Data, Analytics, Reporting, and Live Streaming APIs for creators, enabling channel analysis, research, and guarded management operations.

Enables AI clients to search YouTube, fetch video transcripts, and generate transcript-grounded research briefs using MCP tools.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

MCP server for scientific grounding: search and discover open-access research papers across arXiv, OpenAlex, Crossref, PubMed, and Semantic Scholar, and retrieve references/citations from paywalled journals via public DOI/abstract metadata.

Enables searching, downloading, and reading academic papers from multiple platforms including arXiv, Semantic Scholar, PubMed, bioRxiv, medRxiv, IACR, Google Scholar, RePEc/IDEAS, and Sci-Hub with PDF to Markdown conversion.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.