"Resources for creating UI components" matching MCP servers:

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

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.

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.

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.

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.

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.

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.

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.

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 AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

Enables AI assistants to interact with the Vibe CTV/streaming advertising platform, allowing listing of advertisers, apps, campaigns, and creating reports via the Vibe API.