"YouTube Shorts" matching MCP servers:

Enables an agent to upload videos to a YouTube channel and manage them, including metadata, privacy and scheduling, thumbnails, and playlists. Resumable chunked uploads and safe read-only defaults keep channel-wide operations under control.

Enables local, self-hosted YouTube Studio and Analytics access through MCP, including public channel snapshots, Shorts experiment tables, private analytics, video draft uploads, updates, and comments.

Enables Claude to control a YouTube channel through MCP, including uploading and editing videos, scheduling releases, and reading channel and video analytics via official APIs.

Retrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.

Enables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.

A FastMCP server providing 25 tools for interacting with the YouTube Data API v3 and YouTube Analytics API. It enables comprehensive management of videos, channels, playlists, and comments, alongside retrieval of performance analytics.

A comprehensive MCP server integrating YouTube Data, Analytics, and Reporting APIs, providing 40 tools for channel management, analytics, video publishing, transcripts, SEO, and comments.

A server that enables interaction with YouTube data through the Model Context Protocol, allowing users to search videos, retrieve detailed information about videos/channels, and fetch comments.

Enables interaction with YouTube through search and transcript extraction functionality. Allows searching for videos and retrieving full transcripts with timestamps for content analysis.

This server enables comprehensive management of an entire YouTube channel. It allows users to automate publishing, scheduling, metadata handling, comments, and analytics using various AI agents.

This server allows AI language models to interact with YouTube content through a standardized interface, providing features such as video and channel information retrieval, transcript management, and playlist operations.

MCP server that connects AI agents to real YouTube channel analytics and SEO management via OAuth, enabling content strategy, metadata updates, and companion WordPress posts without leaving the agent.

An MCP server for authenticated YouTube writes, enabling video uploads, caption tracks, playlist management, and metadata edits with safety guards and async jobs.

Enables secure access to your YouTube Watch Later playlist, allowing retrieval of video URLs added within a specified timeframe through a simple interface using OAuth2 authentication.

Enables interaction with YouTube through the YouTube Data API, allowing users to search for videos, playlists, and channels, generate video titles using AI, and manage YouTube content through natural language commands.

Enables managing a YouTube channel from Claude by listing, searching, editing, and organizing videos and playlists while retrieving channel, video, and thumbnail insights.

A simple MCP server to manage YouTube playlists built in TypeScript.

Enables managing a YouTube channel through natural language: upload videos, edit metadata, set thumbnails, run pseudo A/B thumbnail tests, and pull analytics.

Enables AI-powered YouTube content management using Claude Code to orchestrate research, scripting, and scheduling via Google Sheets, Docs, and Drive.

Enables AI-powered automation of YouTube Studio tasks, including retrieving channel stats, fetching unanswered comments, and posting replies, using Google Gemini and MCP over SSE or stdio.

Enables MCP clients like Claude or Cursor to upload videos from your local machine directly to YouTube, schedule them, and manage channel content through Runsheet.

Converts recipes from any source (web, YouTube, Instagram, etc.) into Thermomix format with guided cooking steps and uploads them to Cookidoo.

Schedule short-form video posts to YouTube and TikTok from Claude Desktop or any MCP client using the ReelFaceless public API.

Maps any source asset (e.g., long video, podcast, blog) to all platform formats (TikTok, Reels, Shorts, etc.) with per-platform adaptation rules, enabling a 'film-once-cut-many' content workflow.

Enables interaction with Google's NotebookLM through natural language, allowing users to create and manage notebooks, add sources from URLs/YouTube/Google Drive, query AI for insights, generate audio podcasts and other studio content, and perform AI-powered research and analysis.

Enables Claude and any MCP client to build and edit Google Sites through a real browser session, adding text, media, layouts, embeds, maps, YouTube and Drive items, organizing sections, and publishing or unpublishing pages.

Enables AI assistants to manage scheduled social media posts and content automation across multiple platforms (X/Twitter, Reddit, LinkedIn, Instagram, TikTok, YouTube). Supports organizing campaigns into tracks, scheduling posts with natural language, and automating content workflows with local SQLite storage.

Enables interaction with Google NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Google Drive, perform AI-powered research and analysis, generate audio podcasts, videos, infographics, and slide decks from notebook content.

YouTube from an MCP server or the ytk CLI: search and read any public video, channel, playlist or comment, and manage your own channels: analytics, uploads, metadata, playlists and comment moderation.

Extracts and summarizes learning content from YouTube videos, PDFs, and web articles to provide context for project-based learning. It features automated background processing and integrates with Forest's HTA builder for informed task generation.

MCP server for Framedeck — a Kanban content production manager for YouTube, Instagram, TikTok and Podcast creators. 32 tools to manage productions, stages, frames, checklists, comments, labels, and time tracking, with full MCP safety annotations.

Enables AI agents to control a YouTube channel end-to-end by uploading videos, editing metadata, managing playlists, moderating comments, and reading analytics through MCP tools.

Fetches and tracks content from YouTube channels, RSS feeds, and GitHub releases with persistence to identify new items across sessions.

Full-stack AI marketing toolkit with 41 MCP tools: SEO article generation in 55 languages, trend scouting (X/Reddit), competitor analysis, content gap detection, social media adaptations for 9 platforms, AI avatar video shorts, content ingestion (YouTube/PDF/web), lead magnets, and automated content autopilot.

MCP server for TokPortal's managed social infrastructure API, enabling creation, warming, and operation of real TikTok, Instagram, and YouTube accounts with content publishing.

A Model Context Protocol server that enables AI assistants to extract transcripts from YouTube videos, allowing AI to analyze and work with video content directly.

Enables users to publish, schedule, and manage social media content across nine platforms including TikTok, Instagram, and X via the CodivUpload API. It also supports media management and the creation of YouTube live streams through natural language commands.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

A compliance-aware MCP server for YouTube publishing, analytics, and creator insights. Every action is gated, metered, and audited before touching a channel.

A hosted MCP server that lets AI agents generate content, upload media, create drafts, schedule posts, and publish to TikTok, Instagram, Facebook, and YouTube.