"A server for finding technology-related web content" matching MCP servers:

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.

Search and retrieve transcripts from 488 episodes of the Big Technology Podcast, enabling queries on tech topics and full episode access via Claude.

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.

A Streamable HTTP MCP server that fetches YouTube transcripts and lets an LLM semantically search within them.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables users to search movies and actor profiles, discover soundtracks, and generate curated Spotify playlists, with full playback control and playlist management through natural language.

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.

YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.

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

Enables fetching, searching, and summarizing YouTube video transcripts with multi-language support.

Enables natural language control of Crestron 4-Series AV systems via MCP tools, connecting Claude to a processor over TCP with TLS authentication.

Lets an MCP client read comment threads on your own YouTube channel, prepare replies, moderate or hide comments, and query YouTube Analytics reports. Every publishing or moderation action is held for explicit user confirmation before it takes effect.

A local MCP server that bridges Logic Pro MIDI data via an AUv3 plugin, enabling reading, creating, and manipulating MIDI regions and tracks through tools like read_logic_track and create_midi_region.

Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.

MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.

Create custom playlists, control apple music locally, search apple music catalog, use ai to generate play lists, and more all without needing an apple developer account or giving the MCP server special privileges.

Enables AI agents to manage RSS feeds and articles, safely extract full article text, and fetch YouTube transcripts through a token-optimized MCP interface.

Enables ChatGPT conversations to fetch available captions and metadata from video IDs, URLs, creator uploads, playlists, chapters, and time ranges, returning cleaned Markdown or paginated cues. Cached snapshots, isolated per-video failures, and an outbound-only acquisition worker keep retrieval self-hosted without paid APIs or cookies.

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

Provides access to Vidu's video generation models for creating high-quality videos from text, images, and reference content. It enables users to generate creative video content directly within MCP-compatible applications like Claude and Cursor.

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.

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.

A local MCP server that lets Claude fetch data from your Steam game library via the Steam Web API. All tools are read-only.

A MCP server that implements sequential thinking protocols, provides structured problem-solving methods, decomposes complex problems into manageable steps, and supports iterative optimization and alternative reasoning paths.

Exposes Spotify controls as MCP tools for playback, playlist management, and AI playlist generation; includes a web app and supports multi-user profiles.

The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.

Provides AI clients with read-only tools to browse a talent roster, fetch individual profiles and social links, and read recent announcements with full article content.

Exposes Steam Web API tools as MCP resources for Claude Code, Claude Desktop, and Gemini CLI, enabling profile lookups, game searches, achievement tracking, and more.

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.