"youtube" matching MCP servers:

Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.

This read-only MCP Server allows you to connect to YouTube Analytics data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Bridges MCP clients to the TubeAlfred YouTube API, enabling tools for video details, transcripts, comments, search, and channel info.

Gives AI agents the ability to schedule and publish social media posts to Instagram, TikTok, YouTube, X, LinkedIn, Facebook, Pinterest, Threads, and Bluesky. Create, schedule, and bulk-plan posts with per-platform captions, then check per-platform results and retry failures.

Gives Claude, Cursor, and any MCP client 15 tools to create, schedule, and publish social posts to TikTok, Instagram Reels, YouTube Shorts, X, Threads, and LinkedIn. Also handles media import by URL or base64, webhooks, and per-platform analytics from the ViralNote API.

Enables AI assistants to search Twitter/X, YouTube, Reddit, Google, app-store listings, and 100+ other public web data endpoints via natural language, with prepaid credit or per-call USDC payment and no account or OAuth required.

Enables YouTube script QA before recording by auditing drafts for attention risk, authenticity, policy compliance, and runtime, with actionable rewrites.

Enables assistants to retrieve public TikTok, Instagram, and YouTube stats, profiles, recent posts, and YouTube transcripts through read-only tools.

Local-first MCP server that captures web URLs (X, Reddit, YouTube, Wikipedia, articles) as typed data + Markdown into a self-hosted capture/store/recall substrate, with offline semantic recall. Six tools over a local khiipd daemon; run khiipd serve first.

Connects AI assistants to Cloudglue for video analysis, enabling video description, entity extraction, chapter segmentation, and metadata retrieval from various sources like YouTube and cloud storage.

Public MCP wrapper for SubDownload.Fetch YouTube transcripts, search videos, browse channels and playlists — instant YouTube data for your AI workflow.

Enables AI agents and MCP clients to browse Roomtone meeting notes, add YouTube or pasted-text sources, generate summaries, ask questions answered from transcripts, and retrieve raw transcript text. Recording itself stays in the Roomtone app, so the server only reads and adds to existing meetings.

AI Video Clipping MCP Server

MCP server for PageRankCafe, the marketing platform for AI agents. Create and post link, banner, YouTube, and press-release ads, read placement performance and referral stats, and query platform insights.

Enables fetching YouTube transcripts, searching videos, and listing channel/playlist videos via the TranscriptFetch API.

An MCP server connecting AI agents to Google, YouTube, Amazon, Walmart, TikTok, and Reddit. 21 tools for web search, product lookup, video discovery, and social media analysis.

Enables AI assistants to schedule and publish social media posts to platforms like Instagram, TikTok, YouTube, LinkedIn, Facebook, X, Threads, and Pinterest using natural language.

MCP server for extracting links from text dumps, checking duplicates, extracting YouTube transcripts (with fallbacks including speech-to-text), and preparing workspace-ready page payloads for your note-taking or saving tools. It does not write to your workspace; it hands off prepared content to your existing tools.

Remove vocals, extract instrumentals, and split any song into up to six stems — directly from Claude Desktop, Cursor, or any MCP client. Supports local audio files, YouTube URLs, and SoundCloud track

Enables AI agents to search and read social comments across Reddit, TikTok, YouTube, and Facebook, returning cited verbatim quotes, pain points, objections, and customer vocabulary. Agents can then page through quotes, sources, and raw comments to write ad hooks and audience research in the customers' own words.