"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.

A local MCP server that exposes your own YouTube channel's data—such as channel metrics, video listings, retention curves, and pillar performance—to Claude Code via stdio.

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.

MCP server that lets agents create, display, and export rich UI widgets (cards, dashboards, charts, forms) inline in conversations, with interactive iframe support in MCP Apps hosts and PNG image fallback for other clients.

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 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.

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

Enables users to extract, search, and analyze YouTube video transcripts directly within MCP-compatible clients. It supports advanced features like time-chunked summaries, keyword searching with surrounding context, and batch processing for multiple videos.

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

Enables AI agents to inspect, create, edit, debug, and playtest projects inside the Roblox editor via 29 lean tools, with push-based SSE transport, editor-safe script edits, and batched undoable writes.

Enables AI photo generation, editing, and video creation from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

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.

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.

MCP server that gives Claude access to Dutch mobility data via Studio Bereikbaar's OGC API, enabling querying of travel surveys, traffic models, and accessibility maps.

PostFader V12: 85 tools and 8 resources for FL Studio on Windows and macOS. Inspect projects, analyze mixes, control plug-ins, compose MIDI, select sounds, recover production runs, review revisions, inspect notes, and render saved FLPs. Works with local MCP clients including Claude, Codex and Cursor. Starts read-only; no automatic saves. Requires FL Studio, Universal Bridge and virtual MIDI.

Enables interaction with YouTube's Data API through MCP, providing tools for channel info, videos, playlists, captions, subscriptions, and more.

Provides YouTube video transcripts (text and metadata) as MCP tools for AI hosts like Claude Code, enabling summarization, search, and Q&A without watching the video.