"A tool for analyzing music to determine BPM" matching MCP servers:

Enables agents to search and inspect behavioral packages from the BPM registry and install or remove them with mandatory human approval, all without leaving the agent session.

A local music retrieval MCP server that lets users search, download, and organize songs via natural language, with lyrics matching from NetEase Cloud Music and LRCLIB, plus local library indexing through SQLite.

A NAS music library downloader shell that aggregates multiple sources, writes ID3 tags, and exposes MCP tools for AI agents to search, download, and manage music.

Enables users to generate AI-powered music videos by analyzing visual content to compose matching soundtracks using Google's Lyria model. The server automatically merges audio and media into playable video artifacts that can be rendered inline within MCP-compatible chatbots.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Enables 小智AI to search songs across multiple free music sources, resolve direct playback URLs, and stream audio to devices via the ResourceLink/resources/read protocol.

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.

A read-only MCP server for NetEase Cloud Music data, enabling querying of songs, artists, albums, playlists, lyrics, and user library through tools like search and get details.

Full Apple Music integration for Claude: search the catalog, browse your personal library, manage playlists, and get personalised recommendations.

Integrates QQ Music API with MCP, enabling LLMs to search music, retrieve song details, lyrics, and playback URLs.

A safe, structured Model Context Protocol server for the local Apple Music app on macOS. It lets an MCP client inspect a library, analyze and manage playlists, control playback, edit supported metadata, and keep a local audit trail.

MCP server for read-only access to YouTube Music, enabling exploration of liked songs, playlists, and catalog searches without exposing credentials.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

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.

Connects Claude and other MCP clients to a user's Yandex Music account so they can search the catalog, read liked tracks, listening history, My Wave and playlists, create and edit playlists, like or unlike tracks, and export the library to .txt or .csv. It runs locally over stdio with the token kept on the user's machine, and it does not download audio.

Enables local AI assistants to control and explore the macOS Music app through 12 tools for playback, playlists, songs, albums, and metadata, with full privacy and no network access.

Enables searching YouTube Music and managing playlists through read and confirmation-gated write tools over STDIO. Supports identity checks, song search, playlist listing/retrieval, and previewed playlist creation, track addition, and exact track removal.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

MCP server that routes natural language requests to structured tool calls using a LoRA-tuned small language model, with built-in validation, retry, and fallback recovery.