"NetEase Cloud Music" matching MCP servers:

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.

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.

MCP server for controlling local music playback via NetEase Cloud Music, enabling search, play, pause, skip, and lyrics display through a local web player.

Enables AI agents to control NetEase Cloud Music playback, login, search, and get personalized recommendations through official APIs.

Enables AI clients to control the Windows NetEase Cloud Music desktop app via local stdio MCP, including reading current song and liked state, searching and playing tracks, playback control, track skipping, and setting the current song's liked status.

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.

Multi-source music search and playback MCP server supporting QQ Music, NetEase Cloud, and local files with playlist management.

MCP server that enables AI assistants to search and retrieve music data (songs, lyrics, playlists, albums, artists) from Netease Cloud Music.

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.

Enables creating and managing NetEase Cloud Music 'Listen Together' rooms, including playlist management, invite link generation, and playback control via a secondary account.

Enables MCP-compatible AI clients to retrieve FinOps-aligned knowledge and runbooks on demand, covering cloud cost optimization across AWS, Azure, GCP, and OCI, AI inference economics, Kubernetes, data platforms, allocation, chargeback, anomaly management, and waste detection.

Enables AI clients to assess infrastructure-as-code deployment risk, generate incident response runbooks, review CI/CD delivery readiness, and calculate SLO error budgets through structured advisory tools. Runs locally over stdio without cloud credentials or external API calls, returning guidance for platform work, pull request review, and production readiness checks.

Connects Claude Desktop to a Qlik Cloud tenant for admin operations, allowing users to manage resources like spaces, apps, and automations via natural language.

Provides real-time access to solar inverter data from the SolaX Cloud API, enabling queries of power output, energy yields, battery status, and grid import/export data.

Deterministic music-theory MCP server and API for AI agents — analyze chords, run Roman-numeral analysis, generate voicings, and reharmonize progressions. Computed from music theory, not hallucinated.

Enables Orb Cloud device management, including listing organizations and devices, retrieving telemetry, triggering speed tests, and configuring temporary data push through natural language.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

Enables searching, managing playlists, getting recommendations, and downloading music from TIDAL through natural language commands via the Model Context Protocol.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.