How to Use ElevenLabs MCP for AI Voice

What is the ElevenLabs MCP?

ElevenLabs provides best-in-class AI voice synthesis with ultra-realistic human voices in 29 languages. The ElevenLabs MCP connects Claude Code to the ElevenLabs API, enabling it to generate speech from text, clone voices, manage your voice library, and produce audio content for your applications — all programmatically within your development workflow.

Installation

mcpizy install elevenlabs

Create an ElevenLabs account and copy your API key from elevenlabs.io/profile. Provide it during MCPizy setup.

Key Capabilities

• Text-to-speech generation — convert any text to high-quality audio using any voice in the library.
• Voice library management — list, search, and select from hundreds of pre-built voices.
• Voice cloning — create a custom voice from audio samples (requires appropriate ElevenLabs plan).
• Speech-to-speech — transform the style of existing audio to a different voice.
• Sound effects generation — generate audio sound effects from text descriptions.

Example Usage

Generate narration for an onboarding tutorial:

// Claude will:
// 1. Break the tutorial script into segments
// 2. Call ElevenLabs TTS for each segment with "Rachel" voice
// 3. Save MP3 files with sequential naming (step_01.mp3, step_02.mp3)
// 4. Report the character count and estimated API cost

Tips and Best Practices

• Use the Turbo v2.5 model for the best balance of quality and latency; use Multilingual v2 for non-English content.
• Cache generated audio files — re-generating the same text wastes API credits.
• For long-form content, break text at sentence boundaries to avoid artifacts at arbitrary splits.
• Use stability and similarity_boost parameters to tune consistency vs. expressiveness for your use case.

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