"Y Combinator" matching MCP servers:

为小智AI音响提供音乐搜索、播放控制、音量调节和播放列表管理，支持通过语音或文字交互。

通过 MCP 协议让 AI 操控网易云音乐，实现一起听、搜歌、点歌、切歌、发私信和查歌单等功能。

Owner-side YouTube analytics for AI agents: watch time, traffic sources, audience retention, playlist and podcast-series metrics, and episode-over-episode comparison. Read-only, all of it.

Fetches and cleans YouTube video transcripts using yt-dlp, with fallback from manual to auto-generated subtitles and deduplication.

Wraps yt-dlp to enable MCP-compatible clients to look up video metadata and download videos.

MCP server for reading YouTube subtitles without authentication or external binaries, using YouTube's internal get_panel endpoint to avoid rate limits and fetch full subtitles in a single request.

An MCP server that enables highly personalized music recommendations from TIDAL based on custom criteria, allowing users to create and manage playlists directly in their TIDAL account.

A server that lets you get customized music recommendations from TIDAL based on your specific criteria, allowing you to create new playlists directly in your TIDAL account.

Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.

MCP server wrapping yt-dlp for downloading videos and audio from URLs, providing tools to check dependencies, retrieve video metadata, and perform downloads.

An MCP server for organizing YouTube playlists via the YouTube Data API v3, enabling playlist and playlist item creation, listing, updating, and deletion through natural language.

MCP server that lets you search and list YouTube channel videos, fetch video details, and extract transcripts with timestamps using natural language.

Enables video metadata extraction and downloading from platforms like TikTok and YouTube via yt-dlp, including direct MP4 links and local downloads with MP3 conversion.

Enables AI agents to inspect, plan, download, and postprocess media from YouTube and other sites using yt-dlp, with safety and full option support.

Finds YouTube outlier videos on small channels with high views-to-subs ratio, and provides tools to analyze video structure and comments to verify replicable formats.

Extracts clean text transcripts from YouTube videos using their subtitles and returns them as plain text.

A server that provides tools for working with YouTube URLs, video IDs, and thumbnails, enabling normalization, watch URL generation, and thumbnail retrieval.

MCP server for YouTube channel deep analytics, extracting transcripts and computing quantitative metrics like WPM, profanity, and humor taxonomy, with multi-creator comparison dashboards.

Analyzes YouTube videos using Google's Gemini API, allowing users to get summaries or ask questions about video content via direct URL input.

Enables AI assistants to fetch YouTube video metadata, chapters, and timestamped transcripts (including paginated and language-specific caption retrieval) so they can produce summaries, study notes, comparisons, and source-referenced answers. The returned transcript evidence also carries explicit coverage status, letting the assistant know when a transcript is partial or unavailable.