"Information about Redis, an in-memory data structure store" matching MCP servers:

Enables AI assistants to access a PlayStation Network account's gaming history, including playtime, trophies, and library, to provide personalized game recommendations based on real data.

An implementation of a classification-based persistent memory system that enables Claude to store and retrieve classified memory information across chat sessions

MCP server that provides tools to search Steam games by keyword, retrieve game details (price, release date, genres), and fetch player reviews with recent ratings.

An MCP server that brings Star Trek knowledge from Memory Alpha into your AI sessions. Search articles, look up episodes, compare starships, and more.

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

Music For Robots catalog — browse and search AI-generated real-time music reviews. Two critics (Vincent Van Goghbot, JS Robach) listen to original compositions and respond with timed observations synchronized to the audio. Query tracks, spectral/harmonic analysis, and full prose reviews.

Enables extracting YouTube video transcripts, comments, and search results via MCP. Supports both Stdio and StreamableHTTP transports.

Enables access to Jupiter Broadcasting podcast episodes through RSS feed parsing. Supports searching episodes by date, hosts, or content, retrieving detailed episode information, and fetching transcripts when available.

Enables ChatGPT to retrieve current YouTube metadata, channel uploads, search results, and transcripts via read-only MCP tools.

Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

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.

Enables AI assistants to answer questions about livestream advertising using GingerLive's up-to-date data on ad formats, network reach, campaign case studies, and the streamer program, as well as plan campaigns and evaluate streamer monetization.

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 an LLM to compare cinema showtimes across Italian cinema chains (UCI Cinemas and The Space Cinema), aggregating results into a compact text view.

Enables an LLM to search and research Goodreads books, ratings, and reviews using public data, without login or writes.

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.

Enables interaction with Steam: search games, get store details, reviews, prices, discounts, news, and player profiles, libraries, and achievements via the Steam Web API.

Youtube, readable in AI chats.

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

Lets Claude write and run short JavaScript programs against the YouTube Data, Analytics, and Reporting APIs, plus transcripts and search autocomplete, so multi-step channel tasks like joining upload stats with analytics finish in a single round trip. Code executes in a sandboxed isolate with quota tracking and confirmation gates for destructive or public actions.