"A digest or summary of popular Reddit content" matching MCP servers:

A powerful MCP server for summarizing YouTube videos with transcript fetching, intelligent summarization, key point extraction, and metadata retrieval.

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

A Model Context Protocol (MCP) server that provides YouTube Data API v3 integration for content discovery and analytics. It enables AI assistants to search for videos, channels, playlists, and retrieve detailed metrics.

Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.

Enables YouTube competitor research, signal analysis, and transcript-aware pack building for content ideation and scriptwriting.

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.

A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.

Calculates Pythagorean numerology core numbers (Life Path, Expression, Soul Urge, etc.) from name and birth date, returning structured text and a summary card PNG.

Turns a YouTube channel into a webhook that delivers signed HTTP POST notifications ~8 seconds after a new video is published, without polling or YouTube API quota.

A WHOIS domain name query server based on Model Context Protocol (MCP), supporting the resolution of over 877 top-level domains and 169 country code top-level domains, and providing comprehensive domain name registration information query functions.

A group of model context protocol servers provide cognitive enhancement tools for large language models.

An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host

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

Enables access to New York Times content through 5 specialized tools including article search, real-time news wire, most popular articles, monthly archives, and bestseller lists.

A lightweight service that provides cross conversation temporary information storage and retrieval for AI agents, supporting step-by-step processing of complex tasks.

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.

Enables control of Spotify playback through OAuth authentication, including play/pause, track navigation, volume control, device management, and searching/playing songs by artist or track name.

Mercury Spec Ops MCP Server is a dynamic prompt generation and template assembly tool based on a modular architecture. It is suitable for the interaction between AI assistants and professional content, and supports the dynamic generation of 31 technology stacks, 10 analysis dimensions and 34 templat

A Model Context Protocol server enabling AI language models to search, retrieve, and manage YouTube content including videos, channels, transcripts, and playlists.

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