All Voice Lab MCP Server

from dataclasses import dataclass, field from typing import Dict, List @dataclass class Voice: voice_id: str = "" name: str = "" description: str = "" files: List[str] = field(default_factory=list) is_legacy: bool = False is_favor: bool = False labels: Dict[str, str] = field(default_factory=dict) voice_settings: Dict[str, int] = field(default_factory=dict) icon_url: str = "" status: int = 0 fail_code: int = 0 is_pvc: bool = False is_disabled: bool = False created_time_sec: int = 0 @classmethod def from_dict(cls, data: Dict) -> 'Voice': return cls( voice_id=data.get('voice_id', ''), name=data.get('name', ''), description=data.get('description', ''), files=data.get('files', []), is_legacy=data.get('is_legacy', False), is_favor=data.get('is_favor', False), labels=data.get('labels', {}), voice_settings=data.get('voice_settings', {}), icon_url=data.get('icon_url', ''), status=data.get('status', 0), fail_code=data.get('fail_code', 0), is_pvc=data.get('is_pvc', False), is_disabled=data.get('is_disabled', False), created_time_sec=data.get('created_time_sec', 0) ) @dataclass class GetAllVoicesResponse: voices: List[Voice] = field(default_factory=list) @classmethod def from_dict(cls, data: Dict) -> 'GetAllVoicesResponse': return cls( voices=[Voice.from_dict(voice_data) for voice_data in data.get('voices', [])] ) @dataclass class GetSupportedVoiceModelResponse: models: List['VoiceModel'] @classmethod def from_dict(cls, data): return cls( models=[VoiceModel.from_dict(model) for model in data.get('models', [])] ) @dataclass class VoiceModel: model_id: str name: str can_do_text_to_speech: bool can_do_voice_conversion: bool description: str languages: List['VoiceModelLanguage'] @classmethod def from_dict(cls, data): return cls( model_id=data.get('model_id', ''), name=data.get('name', ''), can_do_text_to_speech=data.get('can_do_text_to_speech', False), can_do_voice_conversion=data.get('can_do_voice_conversion', False), description=data.get('description', ''), languages=[VoiceModelLanguage.from_dict(lang) for lang in data.get('languages', [])] ) @dataclass class VoiceModelLanguage: language_id: str name: str @classmethod def from_dict(cls, data): return cls( language_id=data.get('language_id', ''), name=data.get('name', '') ) @dataclass class DubbingInfoResponse: dubbing_id: str = "" name: str = "" status: str = "" target_languages: List[str] = field(default_factory=list) @classmethod def from_dict(cls, data: Dict) -> 'DubbingInfoResponse': return cls( dubbing_id=data.get('dubbing_id', ''), name=data.get('name', ''), status=data.get('status', ''), target_languages=data.get('target_languages', []) ) @dataclass class RemovalInfoResponse: project_id: str = "" name: str = "" status: str = "" language_code: str = "" removal_result: str = "" extraction_result: str = "" output_url: str = "" @classmethod def from_dict(cls, data: Dict) -> 'RemovalInfoResponse': return cls( project_id=data.get('project_id', ''), name=data.get('name', ''), status=data.get('status', ''), language_code=data.get('language_code', ''), removal_result=data.get('removal_result', ''), extraction_result=data.get('extraction_result', ''), output_url=data.get('output_url', '') ) @dataclass class ExtractionInfoResponse: project_id: str = "" name: str = "" status: str = "" language_code: str = "" result: str = "" @classmethod def from_dict(cls, data: Dict) -> 'ExtractionInfoResponse': return cls( project_id=data.get('project_id', ''), name=data.get('name', ''), status=data.get('status', ''), language_code=data.get('language_code', ''), result=data.get('result', '') ) @dataclass class TextTranslationResultResponse: project_id: str = "" name: str = "" status: str = "" source_lang: str = "" target_lang: str = "" result: str = "" @classmethod def from_dict(cls, data: Dict) -> 'TextTranslationResultResponse': return cls( project_id=data.get('project_id', ''), name=data.get('name', ''), status=data.get('status', ''), source_lang=data.get('source_lang', ''), target_lang=data.get('target_lang', ''), result=data.get('result', '') )