"Using Latest Modern C++ Features in Programming" matching MCP servers:

Search for word definitions from modern Chinese dictionaries to provide users with convenient dictionary query services.

A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.

MCP server for Audiobookshelf that lets AI assistants browse libraries and manage listening progress, bookmarks, collections, and playlists.

Two prediction examples in the Alink tutorial: input a year to predict GMV; input a piece of feedback to analyze its sentiment (positive/negative).

A read-only MCP server that connects to Calibre-Web ebook libraries via OPDS feeds, enabling AI assistants to search and browse books, shelves, covers, and library statistics.

Generate TikTok slideshows from Claude (and any MCP client) using your Svmmon account.

Youtube, readable in AI chats.

Enables AI to send expressive stickers based on conversation context, with a built-in UI for managing stickers.

Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.

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.

14 tools for AI agents: transcript extraction in five formats with adjustable segment size, video metadata, video and channel search, channel browsing, in-channel search, playlists, and an asynchronous batch job for up to 4,000 transcripts. Free tier: 100 credits on signup, no card.

Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.

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.

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 recommends new songs from YouTube Music, ensuring no song is already liked or in any playlist, using multiple independent signals for explainable rankings.

Generates O'Reilly parody book covers that display directly in Claude Desktop application, allowing users to create custom covers with titles, subtitles, authors, and visual themes.

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

Enables MCP clients to search, browse, and retrieve galleries from CosplayTele and similar cosplay image sites, with multiple sources, popularity/latest sorting, and AI-content filtering.

Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.