"NetEase Cloud Music" matching MCP servers:

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.

Lets AI assistants share HTML they generate as a private, end-to-end encrypted link, and update the page later at the same link. The page is encrypted locally before upload, the key stays in the link, and no account is needed.

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.

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.

Local music video toolkit: BPM, key and Camelot detection, best 15/30 s clip, beat-synced shot lists, Spotify Canvas maker and platform specs. Runs on your machine with ffmpeg, no API key.

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.

The agent-native cloud: provision Postgres-compatible databases, deploy services and functions in isolated microVMs, manage storage, auth and AI inference, and read logs and billing — 50 tools behind one API key. Hosted remote server; this repository carries the connection docs.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

Music Production AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Create custom playlists, control apple music locally, search apple music catalog, use ai to generate play lists, and more all without needing an apple developer account or giving the MCP server special privileges.

Generates original AI music through Claude, powered by ACE-Step 1.5, running entirely on your local machine with no cloud dependency.

Read-only MCP server over the charted data of Leimroth et al. (2026), a scoping review of EEG and ECG in music listening. Exposes the review's eligibility criteria, search strategy, reporting gaps, and per-study data for its 18 included studies.

Wraps multiple cloud CLIs (AWS, GCP, Azure, OCI) into a unified command interface and exposes them as MCP tools for AI assistants.

High-efficiency Apple Music MCP Server featuring a dual-engine architecture (macOS Native JXA + Cloud REST API), cross-platform chart discovery (Shazam,Spotify, YouTube), async parallel batch additions, pure-audio enforcement, and zero-timeout execution.

Enables AI agents to query multi-cloud costs, inventory, waste, and commitments across AWS, GCP, Cloudflare, and OVH through read-only MCP tools.

Installs an agent on Linux hosts to allow shell commands, file edits, and service management through Claude.ai or ChatGPT via a secure outbound WebSocket connection.

An MCP server for the Frappe Cloud control plane that lets agents manage sites, bench groups, servers, backups, deploys, logs, analytics, and billing. It provides read, write, and optional destructive tools for operating Frappe Cloud hosting infrastructure.

Music Metadata API

Enables AI coding assistants to run static analysis on GitHub repositories, raw code snippets, or local directories to detect cloud cost leaks in Terraform/AWS configs, PostgreSQL migration table-lock hazards, and OWASP/Next.js API security gaps. Each finding returns structured severity, line-level detail, and drop-in fixes.

Enables access to cloud spot, on-demand, reserved, GPU rental, LLM token, and capacity pricing data with daily index fixings, using free tools and paid per-call payments over x402 or prepaid keys.