"YouTube Studio" matching MCP servers:

Enables AI assistants to retrieve YouTube channel overviews, Studio analytics, video performance, traffic source breakdowns, and comments for sentiment analysis using natural language prompts.

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

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.

MCP server that extracts YouTube video transcripts, supporting multiple languages and URL formats, for use with AI agents.

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.

Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, scene rendering, and integration with the Roblox Creator Store.

Enables AI assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.

Allows AI agents to fetch, search, and summarize YouTube video transcripts without an API key, including chapter summaries.

A local stdio MCP server that gives Claude (or any MCP client) full programmatic control over a single YouTube channel, including video upload, channel management, comments, analytics, and more.

Fast, minimal YouTube 'watch' engine for AI agents that extracts clean transcripts, searches, and slices any YouTube video without requiring an API key.

A hosted Model Context Protocol server providing read-only YouTube tools for search, video/channel data, and transcripts, with no Google Cloud project or API key required.

Resolves a company domain or YouTube handle to a YouTube channel, returning subscriber count, channel metadata, and optional transcripts, with status flags for data availability.

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

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 fetching YouTube video transcripts as Markdown files with chapter indexing, so LLMs can read only relevant sections and save context.

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

Enables Claude to create, modify, and delete parts and scripts in OVERDARE Studio worlds via natural language, with automatic backup and rollback for safe operations.

Provides tools for analyzing Bootstrap Studio .bsdesign project files, generating Bootstrap 5 component code, and looking up Bootstrap documentation.

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

MCP server for extracting structured intelligence from YouTube channels and videos — transcripts, topics, and competitive signals for AI-powered research workflows.