"A tool or service for YouTube script writing assistance" matching MCP servers:

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

YouTube Content Extraction Service for the ME4 suite, enabling download, metadata, transcripts, and comments via MCP, HTTP, and ZMQ interfaces.

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 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.

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 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.

Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.

Enables an AI assistant to fetch a YouTube video's captions on demand, returning every line prefixed with its start time so the assistant can quote the video and point to the exact moment something was said.

Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.

Fetches YouTube transcripts and metadata (title, channel, duration) for URLs, using subtitles or on-device Whisper STT when no subtitles are available, enabling chat-based YouTube video analysis.

Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.

Enables MCP clients to manage multiple named YouTube accounts through one local stdio server, covering video upload and scheduling, metadata, captions, playlists, comments, live broadcasts and chat, channel branding, and analytics reporting via the official Google APIs. It also offers optional FFmpeg-based local media tools for probing, muxing audio, normalizing loudness, trimming, burning subtitles, and extracting thumbnails.

MCP server for downloading videos and audio from YouTube and hundreds of other sites using yt-dlp.

Enables fetching transcripts from YouTube videos by searching for videos based on text queries and retrieving either official transcripts or generating them using AI-powered transcription with Whisper when official transcripts are unavailable.

Provides tools to download YouTube videos and playlists asynchronously, with job tracking and metadata storage via a SQLite database, enabling library management through natural language.

Enables AI agents to fetch transcripts, metadata, and download videos/audio from YouTube without API keys.

Enables AI models to extract transcripts from YouTube videos in multiple languages with zero local setup. It supports all YouTube URL formats and features smart caching via Cloudflare Workers for fast responses.

Enables an AI client to obtain the text of a YouTube video by returning its metadata, the captions YouTube already provides, or a Whisper transcription run on a local GPU. Text responses are bounded and pageable, and long transcriptions run as background jobs that survive request timeouts.

A Model Context Protocol server that enables AI assistants to access YouTube data in real-time, with capabilities for searching videos, analyzing channels, retrieving video details, and extracting transcripts.

Enables Claude AI to extract transcripts from YouTube videos with zero setup required. Works on all platforms including mobile, supports multiple languages, and handles all YouTube URL formats through a cloud-hosted service.

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.

MCP server for programmatic video generation. Send a prompt, get an MP4.

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

Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.

Enables extraction of transcript text from YouTube videos by providing the video URL, supporting standard, shortened, and embed URL formats.

MCP server that extracts YouTube video transcripts, supporting multiple languages and URL formats, for use with AI agents.

Enables AI agents to turn YouTube videos into downloadable audio files in formats like MP3, M4A, WAV, FLAC, and OGG (with optional clipping), and to retrieve existing captions as text, JSON, Markdown, SRT, or VTT. Uses your own RapidAPI key and supports job polling for longer conversions.

A comprehensive MCP server that provides Claude AI with full access to YouTube content, including searchable transcripts, metadata, comments, and playlists. It uniquely supports capturing video screenshots and extracting audio clips for analysis across both local and remote platforms.

Enables searching, retrieving metadata, and downloading YouTube videos or audio without requiring an API key. It utilizes yt-dlp to support media retrieval and playlist management within MCP-compliant clients like Claude and Cursor.

Enables MCP clients and agents to fetch YouTube transcripts and caption lists from video IDs or links, preferring manual/auto captions by ordered language preference and falling back to local Faster-Whisper audio transcription when captions are unavailable. Results include source, language, full text and timestamped segments, with CLI exports to JSON, text, SRT and WebVTT, all without paid APIs or API keys.