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

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

Integrates with Get Notes API to search and retrieve knowledge from configured knowledge bases with AI-powered synthesis and raw recall capabilities.

Builds a searchable knowledge base from YouTube video transcripts with hybrid semantic and keyword search. Allows LLM assistants to search, organize, and retrieve timestamped information from videos you've watched.

Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Integrates with Get笔记 (GetBiji) API to enable AI-powered knowledge base search and retrieval. Provides tools for enhanced semantic search, raw content recall, and rate limit monitoring.

Persistent memory for AI agents. Stores verbatim conversation transcripts and makes them searchable by meaning via semantic embeddings.

Public MCP wrapper for SubDownload.Fetch YouTube transcripts, search videos, browse channels and playlists — instant YouTube data for your AI workflow.

Transforms YouTube videos into a persistent, structured knowledge base using transcripts and visual frame analysis, enabling knowledge compounding and natural language querying.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

Enables users to ingest YouTube videos, analyze transcripts and scene-change frames, and query a compounding wiki knowledge base through MCP clients like Claude and Copilot.

Enables users to turn YouTube videos into a compounding, searchable knowledge base by combining transcripts with vision analysis and agentic retrieval, while serving that capability to MCP clients like Claude and Copilot.

Enables transforming YouTube videos into a persistent, structured knowledge base by extracting transcripts and scene-change frames, then reasoning over compiled wiki pages for agentic search through MCP clients.

Enables users to ingest YouTube videos and query a persistent, compounding knowledge wiki built from transcripts and scene-change visual analysis, with agentic search and source citations through MCP clients.

Enables MCP clients to turn YouTube videos into a persistent, searchable knowledge base using transcripts and vision analysis, then query that compiled wiki through agentic retrieval.

Enables users to ingest YouTube videos, extract transcripts and scene-based visual descriptions, build a compounding wiki knowledge base, and query it through agentic search from MCP-compatible clients.

Enables users to ingest YouTube videos and have transcripts plus visual scene analyses compiled into a growing, cross-linked wiki that can be queried agentically for answers with citations.

Enables ingesting YouTube videos to build a persistent, cross-referenced wiki from transcripts and vision-analyzed frames, then supports agentic search and question answering through MCP clients like Claude and Copilot.

This MCP server enables users to ingest YouTube videos and turn transcripts plus scene-change visual analysis into a persistent, searchable wiki knowledge base, then ask questions and get source-cited answers through agentic search. It supports use with clients like Claude and Copilot.

Metis gives AI agents expert know-how that named reviewers have approved, and only where its recorded conditions match the situation. High-risk situations go to a person. When an agent sees practice depart from procedure, it can send the expert one short question. Every retrieval is recorded on a hash-linked evidence chain.

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

Turn any YouTube video, article, PDF, or image into a reusable Claude Code skill — without leaving your editor.

Turns a coding agent into a language tutor grounded in your LingoChunk listening history, providing tools to access vocabulary, transcripts, audio clips, and create lessons.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

Chronicle is a secure, local-first MCP server designed to transform your historical AI chat logs into a persistent memory vault. It seamlessly parses and indexes raw conversation exports from ChatGPT, Claude, and various IDE transcripts directly on your machine. By utilizing dynamic token-stripping, the engine automatically cleans redundant syntax wrappers to save up to 40%

A local-first MCP server that stores meeting transcripts and maintains a searchable markdown wiki of decisions, commitments, and contradictions, enabling Claude to recall context across meetings.