"YouTube" matching MCP servers:

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.

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

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.

Connect AI assistants to YouTube: search, transcripts, metadata, and more.

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

Gives Claude access to YouTube features such as transcripts, search, video and channel stats, comments, playlists, and trending videos, with optional API key for full functionality.

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.

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

Local YouTube MCP server for turning public video, channel, and playlist URLs into structured context, with bounded comment retrieval, timestamped captions, and owned-playlist management using your own Google Cloud credentials.

Enables AI assistants to search and retrieve YouTube videos, channels, playlists, and transcripts through the Model Context Protocol.

An MCP server that provides AI assistants with powerful tools to interact with YouTube, including video searching, transcript extraction, comment retrieval, and more.

MCP server for YouTube Data API v3 enabling video search, channel lookup, trending content, comments, and playlist management.

Enables Claude and other MCP clients to query a user's YouTube channel analytics and public YouTube data—including videos, channels, playlists, comments, searches, and trending charts—through read-only Google APIs on a privately hosted deployment.

Provides read-only MCP tools to search YouTube, retrieve video metadata, transcripts, comments, channel information, and popular videos.

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

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

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.

Provides production-grade tools for YouTube channel resolution, video metadata extraction, transcripts, and playlist management. It features a quota-aware, AI-friendly design that supports structured searching and listing of public YouTube data.

Enables structured access to YouTube via Piped, offering search, video metadata, and browser-ready playback URLs without an official API key or browser automation.

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

Enables AI clients to search YouTube, fetch video transcripts, and generate transcript-grounded research briefs using MCP tools.

Enables Claude.ai to search videos, get trending and channel feeds, retrieve video metadata and engagement stats, and fetch or search transcripts over HTTPS.

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

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.

A keyless MCP server that lets agents search YouTube across multiple languages and queries, pull transcript highlights, ranges or query-matched passages, fetch real video frames, comments, chapters and channel outlier scores, all without an API key, OAuth or cookies. It also ships a research skill that plans multi-language queries, fans out to subagents, spot-checks quotes and reports coverage.

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.