"Understanding Modal Music" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.

Enables MCP clients to query NetEase Cloud Music data such as songs, artists, albums, playlists, lyrics, and a logged-in user's library in compact, paginated, structured form, along with guarded playlist and like write operations.

Enables MCP-compatible agents to queue, run, and track local AI music generation jobs with dry-run defaults, license recording, and pluggable pipeline adapters for YuE or compatible backends.

A server that provides QQ Music search functionality through the Modular Control Protocol, allowing users to search for music tracks by keyword and retrieve song information.

Facilitates running Python code in a sandbox and generating images using the FLUX model via an MCP server compatible with clients like Goose and the Claude Desktop App.

An MCP server that uses Google's Gemini API to analyze videos and convert them to text descriptions that Claude Code can understand and act upon.

A unified MiniMax multimodal MCP server that enables users to access text, search, image understanding, image generation, speech synthesis, video generation, music generation, and quota query capabilities through AI CLI tools.

Enables AI-assisted music composition through copyable pattern templates, style constraints, and arrangement tools that compile to MIDI files. Provides 30+ tools for managing musical structures, layers, patterns, and styles with deterministic compilation from YAML arrangements.

MCP server that enables LLMs to search, play, and manage music from multiple platforms (NetEase, QQ, Kugou) and local files, with lyrics retrieval and playback control.

Enables AI assistants to search, play, queue, pause, resume, and skip tracks in a shared music room via stdio MCP tools, while a synchronized PWA mini/full player serves human listeners.

Enables AI assistants to search for music and create/manage playlists on YouTube Music via OAuth 2.0 authentication.

Two-mode creative music studio for AI: scored composition (ABC notation with sheet music) and live performance (Strudel live coding with TidalCycles), with interactive UI rendering inline in Claude Desktop and other MCP clients.

Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.

Unifies MiniMax's multimodal generation, web search, image understanding, audio, video, and music tools into a single MCP server for use with Claude and other clients.

Provides intelligent access to local music collections through advanced metadata management, album classification across 8 types, collection analytics, and smart search capabilities for AI-powered music library organization.

Enables AI agents to safely access and manage a single Apple Music account, including indefinite listening history, analytics, playlists, and recommendations.

Enables natural language control of Music Assistant home audio system, including playing music, controlling playback, adjusting volume, and managing queues, with intelligent player and provider resolution.

An MCP server that enables AI applications to search YouTube music videos and manage playlists via the YouTube Data API v3, with OAuth support for playlist and subscription management.

Enables music discovery and recommendations through the free Last.fm API by exposing tools for artist and track search, similarity-based suggestions, genre or mood-based discovery, and personalized recommendations built from a Last.fm user's listening history.