AI music generation that uses licensed artist voices combines voice cloning and text-to-speech with music production workflows and voice interaction platforms. This topic covers how MCP (model connector/proxy) servers and TTS/STT services are being used to generate, localize, stream, and orchestrate multi-voice audio while managing licensing and compliance requirements. It’s timely in 2025 because demand for artist-authentic vocal content, real-time voice interactions, and localized versions of songs has grown alongside clearer licensing frameworks and platform controls. Key tools and integration patterns include: Cartesia, an MCP bridge that exposes voice cloning and TTS to LLM-powered clients; ElevenLabs, a cloud TTS service for structured multi-voice voiceovers; Kokoro TTS, a local-model approach that generates MP3s and supports on-prem or offline workflows; Fish Audio, a streaming-capable TTS integration for real-time playback and multi-voice scripting; and VoiceMode, which connects Claude and other agents to OpenAI-compatible STT/TTS services for conversational voice interactions. Together these tools illustrate the trade-offs between cloud APIs (scalability, managed voices), local models (control, latency/privacy), and bridge layers (integration with agents, DAWs, or interactive experiences). Practical considerations include ensuring proper licensing for artist voices, tracking provenance and consent, choosing streaming vs. file-based workflows, and matching audio quality requirements for music production. For teams building voice-enabled music features, the current landscape favors modular MCP integrations that let producers swap providers depending on legal, latency, and fidelity needs while maintaining transparent rights management and attribution.