"YouTube" matching MCP servers:

Enables AI agents to obtain verbatim timestamped YouTube audio transcriptions and extract native HD keyframes at exact moments, along with video metadata, channel listings, and Groq quota health checks.

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.

MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

Enables Claude Desktop to research trends, generate and upload videos with thumbnails, manage playlists and comments, and analyze YouTube channel analytics through Google's APIs.

Enables MCP clients to analyze YouTube videos by extracting summaries, timestamped outlines, diagrams with Mermaid code, and targeted insights about specific moments using Gemini's native video understanding.

Enables AI assistants to extract educational content from YouTube videos by fetching timestamped transcripts and visually meaningful frames, returning them as base64 JPEGs for analysis.

Analyzes public YouTube videos with Google Gemini, enabling summarization, timestamped insights, metadata extraction, audio analysis, and long-video sessions with follow-up questions.

Zero-dependency MCP server for social media dimensions & first-party safe areas (Reels, TikTok, YouTube Shorts), encoder-safe aspect ratios, video bitrate math, SRT/VTT/ASS subtitle conversion, and BPM delay tables.

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

Enables AI agents to analyze public Reels, TikTok, and YouTube Shorts by extracting timestamped transcripts, visual understanding, and searchable video maps, then query specific moments via MCP tools.

MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

Enables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.

Search a YouTube video's transcript and get back only the moments that answer the question, each with a clickable timestamp deep link. Also reads the video's frames — slides, charts, demos and on-screen text — and verifies every citation against recorded evidence before returning it

Connects AI assistants to Cloudglue for video analysis, enabling video description, entity extraction, chapter segmentation, and metadata retrieval from various sources like YouTube and cloud storage.

MCP server for parallel video rendering with 6 tools: detect_gpu, system_info, render_video, color_grade, merge_audio, concat_videos. Live dashboard, GPU auto-detection, YouTube-optimized output.

Enables AI assistants to fetch and analyze YouTube data, including video info, transcripts, channel analysis, and comparisons, with both free and API-key extended tools.

Enables fetching YouTube transcripts, searching videos, and listing channel/playlist videos via the TranscriptFetch API.

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

Generates blog and social media images using Google's Gemini AI with pre-configured platform presets for Ghost, Medium, Instagram, Twitter, LinkedIn, YouTube, and more.

An MCP server for image generation, editing, and analysis using OpenAI's gpt-image-1 model, with specialized templates for YouTube thumbnails, blog headers, social media, and more.

Analyzes images, audio, and video using Google's Gemini AI, with support for downloading videos from URLs such as Bilibili and YouTube.

Enables AI agents to research Bilibili and YouTube videos through language, visual, or multimodal analysis, returning structured evidence with source-time ranges, availability states, and explicit analysis limits. Supports caption or audio-based transcription, sampled comments, and quality-controlled media windows.

Enables generating commercial multi-shot product video ads from product image URLs or base64 images across TikTok/Reels, Meta Feed, Square, and YouTube formats. Supports storyboard sequences, multiple variants, status polling with coherence scoring, video listing, and quota checks.

Enables AI-powered media manipulation including face swapping for videos and photos, lip syncing, and face detection via the Magic Hour AI platform. It provides tools for uploading files, managing video projects, and processing content from both local files and YouTube URLs.

Enables AI assistants like Claude, Cursor, and Codex to clip YouTube, Twitch, and Kick videos or live streams (downloading locally via yt-dlp), create beat-synced edits, and generate AI Studio images and video, then fetch rendered clips, captions, and post drafts. It also exposes account credits, project status, and media uploads, while never purchasing anything or publishing on the user's behalf.

Analyze YouTube, TikTok, and Instagram videos from URL. Extracts transcripts, generates AI insights, and pulls tutorial steps from any video link.

A secure MCP server for Google Gemini AI, providing 39 tools for text, image, video, document, YouTube, research, and more. Runs locally via stdio with API key protection and no third-party services.

Enables AI agents to search, analyze, and extract insights from YouTube videos including transcripts, visual frames, and benchmarks without requiring API keys. Supports semantic search across playlists, sentiment analysis, and visual content indexing with automatic fallback chains for reliable access.

Enables image-capable LLM agents to ingest and analyze YouTube videos, retrieve structured timestamped reports, inspect source conflicts, and request individual frames at any timestamp through MCP tools.

Turn a topic or script into a finished 6–60 minute faceless YouTube documentary with voiceover, real footage, animated maps and charts. The agent plans every shot; Cliptude voices, sources and renders it.