"General information or resources about data" matching MCP servers:

Enables AI assistants to look up Spotify track play counts, artist monthly listeners, charts, albums, playlists, search results, ISRCs, genres, moods, and BPM through MCP tools.

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

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 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.

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.

MCP server for Scribefy — extract YouTube transcripts from Claude Desktop, Cursor, Windsurf, ChatGPT custom GPTs, or any other MCP-compatible client.

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 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 natural-language inquiries about personal listening history and playlist creation with enforced hard constraints and automated repair.

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.

Enables AI agents to read Varzesh3's live scores, match details, league tables, fixtures, team and player data, transfers, TV schedules, news, and videos through 18 read-only tools without requiring an API key or account.

Enables AI agents to turn raw or loosely formatted screenplay text into professionally structured screenplay blocks and typeset plain text on fixed CJK or Latin character grids, with deterministic scene analysis, shootability diagnostics, and Fountain conversion. It runs locally with no account, key, quota, or network calls.

Fetch Songsterr tabs and transpose them between tunings and string counts, outputting ASCII or Guitar Pro files.

A hosted Model Context Protocol server providing read-only YouTube tools for search, video/channel data, and transcripts, with no Google Cloud project or API key required.

MCP server that provides Danish TV guide data, enabling AI assistants to answer queries about TV schedules, channel listings, and programme searches.

Enables AI agents to pull real TikTok profile and video analytics, rank posts by custom metrics, and publish videos or photo carousels or create drafts for the connected account.

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.

An MCP server providing access to Sveriges Radio's P3 channel music playlists, including real-time tracks and historical data. It enables AI assistants to fetch current songs and search the last 90 days of playlist history by date or artist.

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.

Creates Drake-style rap bars from any situation you type, and provides a complete MCP example with tools, resources, prompts, and an interactive UI widget.

Enables searching and managing Spotify playlists, tracks, and user information through the Spotify Web API.

Resolves a company domain or YouTube handle to a YouTube channel, returning subscriber count, channel metadata, and optional transcripts, with status flags for data availability.

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

Enables MCP clients such as Claude, Cursor, and VS Code Copilot to search more than 50,000 internet radio stations by name, genre, country, or language and retrieve their direct stream URLs. It also surfaces the most popular and trending stations along with country and genre listings, with no API key or account required.

Connects Claude Desktop to Notion and YouTube transcripts with one-click installation, enabling natural language queries about your pages and video content.

Provides access to Disney parks data including attractions, dining locations, height requirements, Lightning Lane status, and other park information for Walt Disney World and Disneyland resorts through structured queries and fuzzy search.