"Music streaming service and platform" matching MCP servers:

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.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

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.

Enables Claude and other MCP clients to control music playback in Discord voice channels by routing tool calls to a locally running Discord YouTube DJ bot. Lets users play songs by URL or YouTube search, search without playing, list available voice channels, check what's playing, and stop playback using natural language.

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.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

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.

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.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

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.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

MCP server for Azure resource management, AI Foundry, and Entra ID — inspect and operate Azure infrastructure through AI agents.