"How to Capture Screenshots from YouTube Videos" matching MCP servers:

Enables users to stream or download YouTube video information and direct links via the Ytstream API. It supports geographic optimization and language selection for better download speeds and audio availability.

Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

MCP server for screen recording on macOS, iOS Simulator, and Android, with key-frame extraction via ffmpeg, enabling AI agents to capture UI motion and transient visual states.

Enables AI agents to drive TradingView Desktop, switch through a layout's symbols, and export each chart's rendered image, CSV data, and indicator details to local files, which they can then read in part or crop on demand. It runs jobs in a background process that does not consume agent tokens and keeps only the current day's output, leaving symbol choice, analysis, and use of the data to the caller.

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

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.

Provides a local MCP interface to query captured, PII-scrubbed prompt telemetry from coding agents and browser chats, enabling time summaries, prompt search, and activity analysis without data leaving the machine.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Fast, minimal YouTube 'watch' engine for AI agents that extracts clean transcripts, searches, and slices any YouTube video without requiring an API key.

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.

Enables an AI assistant to list available monitors and take a single on-demand still screenshot of a selected monitor, with optional downscaling and JPEG or PNG output.

Enables Claude to control a YouTube channel through MCP, including uploading and editing videos, scheduling releases, and reading channel and video analytics via official APIs.

Enables Claude to fetch the spoken text of YouTube videos from any URL or video ID, listing available captions and languages and paging through long transcripts. It also handles proxy configuration to work around YouTube IP blocks.

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.

A FastMCP server providing 25 tools for interacting with the YouTube Data API v3 and YouTube Analytics API. It enables comprehensive management of videos, channels, playlists, and comments, alongside retrieval of performance analytics.

Enables YouTube integration with Claude Code, including video search, metadata retrieval, transcript fetching, channel exploration, and trending videos.

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.

YouTube from an MCP server or the ytk CLI: search and read any public video, channel, playlist or comment, and manage your own channels: analytics, uploads, metadata, playlists and comment moderation.

Enables vision-capable AI clients to read and adjust Capture One on macOS through local MCP stdio or JSON CLI, including curves, color tools, film grain, masks, reference matching, and real previews of rendered edits.

Enables interaction with YouTube through search and transcript extraction functionality. Allows searching for videos and retrieving full transcripts with timestamps for content analysis.

Enables vision-capable AI clients to read and adjust Capture One on Windows through an MCP stdio server (plus a JSON CLI), applying exposure, curves, color, layer and mask edits and returning real Capture One-rendered previews. It runs a local bridge to C1's native parameters with no presets, screenshots or synthetic input.

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

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

Enables AI assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.

Exposes public YouTube data — transcripts with timestamps and language listings, keyword search, video metadata and statistics, comments, channels, channel uploads, and categories — as read-only tools an LLM can call over stdio. It runs as a single local process using only a YouTube Data API key, with SQLite caching, quota tracking, and no OAuth or account access.

Allows AI agents to fetch, search, and summarize YouTube video transcripts without an API key, including chapter summaries.

Enables interaction with YouTube's Data API through MCP, providing tools for channel info, videos, playlists, captions, subscriptions, and more.

Enables local, self-hosted YouTube Studio and Analytics access through MCP, including public channel snapshots, Shorts experiment tables, private analytics, video draft uploads, updates, and comments.

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.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.