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

Enables AI assistants to control Apple Music on macOS through AppleScript, providing tools for playback management, library searching, and playlist organization. It supports detailed track metadata retrieval and enhanced queue management for a seamless music experience.

Enables AI assistants to control Apple Music on macOS using AppleScript for playback, library management, and playlist operations. It supports features like searching tracks, managing the play queue, and retrieving detailed metadata through a structured interface.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Control Apple Music via natural language from Claude Code, with the ability to mark tracks and accumulate reactions in an Obsidian Vault.

Enables AI agents to query years of Spotify listening history stored in a music-warehouse Worker, answering questions about individual plays, top artists and tracks, daily counts, era stats, and Wrapped-style summaries, plus live now-playing and Spotify top data when the Worker's Spotify grant is active. It runs locally over stdio using a read-only token and exposes fourteen read-only tools.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables music management through search, playlist creation, and intelligent recommendations. Supports searching by song, artist, or album, creating and managing playlists, and getting music recommendations based on genre and mood.

A simple MCP server that allows AI assistants like Cursor or Claude Desktop to search for and play tracks on YouTube Music through natural language commands.

Enables in-chat music playback by searching song names or specifying Netease song IDs, returning playable music cards with cover, lyrics, and a temporary audio proxy. It relies on a user-configured Netease-compatible API and supports custom card colors.

An MCP server that turns Yandex Music into tools an AI agent can call directly — search, queue, play, build playlists — with no browser involved.

MCP server for controlling Apple Music on macOS via AppleScript, enabling playlist management, playback control, and library search through natural language.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.

MCP server for controlling Apple Music on macOS using JXA (JavaScript for Automation). Manage playback, search tracks, create playlists, and more without API keys.

Enables searching the Apple Music catalog, building playlists, and managing a library through the Apple Music API.

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.

MCP server for YouTube Music that enables searching songs and artists, managing playlists, and authenticating via Google OAuth, using STDIO transport.

Enables managing YouTube Music playlists and searching songs via the YouTube Data API v3, deployed as a free Cloudflare Worker.

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