"Tools or methods to search and analyze YouTube videos" matching MCP servers:

Enables AI assistants to search YouTube videos using the official YouTube Data API v3, extract full video transcripts in multiple languages, and store/retrieve video summaries using a local database.

Enables searching YouTube videos via SerpAPI, returning video details such as title, link, channel, views, duration, and publish date.

Enables AI assistants to search YouTube videos with rich metadata including titles, channels, view counts, and duration. Supports multi-language search and is designed for remote deployment on the Dedalus platform.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

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 intelligent code analysis and search across repositories using the CodeRank algorithm (inspired by PageRank) to identify critical modules, trace dependencies, find code hotspots, and perform context-aware keyword searches with importance-ranked results.

Provides 22 read/write tools to search and retrieve YouTube videos, channels, playlists, comments, trending, and related content, and works with any MCP client.

Wraps the YouTube Data API v3, allowing AI agents to search videos, channels, and playlists via MCP tools or natural language queries through Pipeworx.

A comprehensive MCP server providing YouTube transcript retrieval, video search, channel browsing, playlist extraction, and upload monitoring for AI agents.

Enables AI clients to pull full transcripts from YouTube videos, search videos and channels, browse a channel's complete upload history, search within a single channel, and extract every video in a playlist through one hosted remote endpoint. It supports API-key or OAuth 2.1 sign-in with no local installation, returning metadata and paginated results with stable error codes.

14 tools for AI agents: transcript extraction in five formats with adjustable segment size, video metadata, video and channel search, channel browsing, in-channel search, playlists, and an asynchronous batch job for up to 4,000 transcripts. Free tier: 100 credits on signup, no card.

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.

High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.

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

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.

Enables AI tools to access YouTube content, including transcript extraction, video/channel info, and search.

Enables Claude Code to access YouTube features such as video transcripts, search, metadata, channel info, playlists, comments, trending videos, engagement analytics, chapters, SponsorBlock, and most-replayed heatmaps.

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.

Enables AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.