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

Enables AI agents to extract video frames at configurable FPS and compose them into grid sheets for multimodal LLMs, with support for video download, HLS streams, and job management via MCP tools.

Enables agents to discover how a website serves its data, verify sources with evidence, export OpenAPI 3.1, and generate tested TypeScript or Python clients.

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

MCP server that enables semantic search over macroeconomic data using the Lambda Capture API.

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.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

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.

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.

A Model Context Protocol (MCP) server that gives AI assistants the ability to search, analyze, and extract knowledge from YouTube videos.

Integrates SAM.gov, USASpending.gov, and Tango APIs to enable natural language queries for federal procurement and spending data, providing both human-readable and structured JSON outputs.

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

MCP server for YouTubeTranscript.dev — extract transcripts, manage history, and power AI assistants with YouTube content.

Bridges YouTube API and AI assistants, enabling video analysis by downloading and processing closed captions to create summaries of YouTube videos.

Enables Claude to inspect your YouTube playlists for recently added videos and retrieve new items since the last check, powering daily automation that schedules videos into calendar slots.

Enables Claude to directly analyze YouTube channel performance by fetching real metrics such as views, watch time, retention, traffic sources, reach/CTR, and comments via YouTube APIs.

A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.

Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.

Enables AI assistants to search videos, read channels, browse playlists, fetch comments, and get transcripts from YouTube using the YouTube Data API v3 and InnerTube API for captions.

An MCP server that enables AI applications to search YouTube music videos and manage playlists via the YouTube Data API v3, with OAuth support for playlist and subscription management.

Enables managing a YouTube channel from Claude by listing, searching, editing, and organizing videos and playlists while retrieving channel, video, and thumbnail insights.

Enables YouTube video upload, metadata updates, thumbnail management, stats retrieval, and analytics via the YouTube Data API v3 and Analytics API using OAuth 2.0.

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.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables AI agents to read transcripts of any public video, research channels, analyze performance, read comments, and manage multiple owned channels.

MCP server that provides YouTube video data to AI agents, supporting search, metadata, comments, and transcripts without an API key.

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 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.

Screenshot, visual-diff, and AI page-analysis API for AI agents. Capture any URL as PNG, JPEG, WebP, PDF, or HTML, diff two versions of a page to catch visual regressions, and get an AI summary of what a page contains.

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.

A powerful MCP server for summarizing YouTube videos with transcript fetching, intelligent summarization, key point extraction, and metadata retrieval.