"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 AI agents to capture pixel-perfect screenshots with synchronized DOM data and quality metrics, supporting auth injection and MCP integration for vision AI tasks.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Enables turning public YouTube videos into full text and a short summary by having Gemini watch the video through its documented YouTube-URL input, with no downloading or caption scraping. Digests are cached in SQLite by video id, so repeated requests are free, and stored videos can be listed or searched with full-text queries.

Provides an MCP interface to the Prism Videos API, enabling character management, template browsing, generation status polling, and downloading completed video generations.

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.

A Windows MCP server that enables AI agents to capture screenshots of open windows or the full desktop via stdio or HTTP.

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 assistants to interact with macOS windows through yabai, providing window listing organized by Spaces and screenshot capture capabilities.

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.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

Enables MCP-capable agents to add, search, edit, archive, and delete locally stored notes over streamable HTTP without using the web UI.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

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.

Production-grade Model Context Protocol server for YouTube intelligence. Extract, analyze, and automate insights from YouTube channels and videos using the official YouTube Data API v3. Built for AI agents, automation pipelines, and content intelligence workflows.

A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.

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.

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.

Local read-only MCP server for YouTube Data API v3 and YouTube Analytics API, enabling public video searches and OAuth-based private channel reads.