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text_to_voice

Generate three voice previews from text using ElevenLabs technology. Saves audio files to a specified directory for voice design and testing purposes.

Instructions

Create voice previews from a text prompt. Creates three previews with slight variations. Saves the previews to a given directory. If no text is provided, the tool will auto-generate text.

Voice preview files are saved as: voice_design_(generated_voice_id)_(timestamp).mp3

Example file name: voice_design_Ya2J5uIa5Pq14DNPsbC1_20250403_164949.mp3

⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
output_directoryNo
textNo
voice_descriptionYes

Implementation Reference

  • The handler function that implements the 'text_to_voice' tool. It generates three voice previews from a description using the ElevenLabs API, saves the MP3 audio files, and returns the file paths and generated voice IDs.
    def text_to_voice(
        voice_description: str,
        text: str | None = None,
        output_directory: str | None = None,
    ) -> TextContent:
        if voice_description == "":
            make_error("Voice description is required.")
    
        previews = client.text_to_voice.create_previews(
            voice_description=voice_description,
            text=text,
            auto_generate_text=True if text is None else False,
        )
    
        output_path = make_output_path(output_directory, base_path)
    
        generated_voice_ids = []
        output_file_paths = []
    
        for preview in previews.previews:
            output_file_name = make_output_file(
                "voice_design", preview.generated_voice_id, output_path, "mp3", full_id=True
            )
            output_file_paths.append(str(output_file_name))
            generated_voice_ids.append(preview.generated_voice_id)
            audio_bytes = base64.b64decode(preview.audio_base_64)
    
            with open(output_path / output_file_name, "wb") as f:
                f.write(audio_bytes)
    
        return TextContent(
            type="text",
            text=f"Success. Files saved at: {', '.join(output_file_paths)}. Generated voice IDs are: {', '.join(generated_voice_ids)}",
        )
  • Registers the 'text_to_voice' tool with the MCP server using the @mcp.tool decorator, providing a detailed description that serves as the tool schema.
    @mcp.tool(
        description="""Create voice previews from a text prompt. Creates three previews with slight variations. Saves the previews to a given directory. If no text is provided, the tool will auto-generate text.
    
        Voice preview files are saved as: voice_design_(generated_voice_id)_(timestamp).mp3
    
        Example file name: voice_design_Ya2J5uIa5Pq14DNPsbC1_20250403_164949.mp3
    
        ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.
        """
    )
  • Supporting tool 'create_voice_from_preview' that uses the generated voice ID from 'text_to_voice' to add the voice to the library.
    @mcp.tool(
        description="""Add a generated voice to the voice library. Uses the voice ID from the `text_to_voice` tool.
    
        ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.
        """
    )
    def create_voice_from_preview(
        generated_voice_id: str,
        voice_name: str,
        voice_description: str,
    ) -> TextContent:
        voice = client.text_to_voice.create_voice_from_preview(
            voice_name=voice_name,
            voice_description=voice_description,
            generated_voice_id=generated_voice_id,
        )
    
        return TextContent(
            type="text",
            text=f"Success. Voice created: {voice.name} with ID:{voice.voice_id}",
        )

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