All Voice Lab MCP Server

import logging from mcp.types import TextContent from .base import get_client def get_models() -> TextContent: """ Get a list of available voice synthesis models Returns: TextContent: Text content containing a formatted list of available voice models """ logging.info("Tool called: get_models") all_voice_lab = get_client() try: logging.info("Getting supported voice model list") resp = all_voice_lab.get_supported_voice_model() models = resp.models logging.info(f"Retrieved {len(models)} voice models") if len(models) == 0: logging.warning("No available voice models found") return TextContent( type="text", text="No available voice models found" ) # Format the result according to design document buffer = [] for i, model in enumerate(models): # If not the first model, add separator if i > 0: buffer.append("---------------------\n") buffer.append(f"- id: {model.model_id}\n") buffer.append(f"- Name: {model.name}\n") buffer.append(f"- Description: {model.description}\n") # Add the final separator buffer.append("---------------------\n") # Join the list into a string result = "".join(buffer) logging.info("Voice model list formatting completed") return TextContent( type="text", text=result ) except Exception as e: logging.error(f"Failed to get voice models: {str(e)}") return TextContent( type="text", text=f"Failed to get models, tool temporarily unavailable" ) def get_voices(language_code: str = "en") -> TextContent: """ Get a list of available voice profiles for the specified language Args: language_code: Language code for filtering voices. Must be one of: [zh, en, ja, fr, de, ko]. Default is "en". Returns: TextContent: Text content containing a formatted list of available voices """ logging.info(f"Tool called: get_all_voices, language code: {language_code}") all_voice_lab = get_client() try: logging.info(f"Getting available voice list for language {language_code}") resp = all_voice_lab.get_all_voices(language_code=language_code) voices = resp.voices logging.info(f"Retrieved {len(voices)} voices") if len(voices) == 0: logging.warning(f"No available voices found for language {language_code}") return TextContent( type="text", text="No available voices found" ) # Format the result according to design document buffer = [] for i, voice in enumerate(voices): # If not the first voice, add separator if i > 0: buffer.append("---------------------\n") buffer.append(f"- id: {voice.voice_id}\n") buffer.append(f"- Name: {voice.name}\n") buffer.append(f"- Description: {voice.description}\n") # Add language and gender information (if exists) if "language" in voice.labels: buffer.append(f"- Language: {voice.labels['language']}\n") if "gender" in voice.labels: buffer.append(f"- Gender: {voice.labels['gender']}\n") # Add the final separator buffer.append("---------------------\n") # Join the list into a string result = "".join(buffer) logging.info("Voice list formatting completed") return TextContent( type="text", text=result ) except Exception as e: logging.error(f"Failed to get voice list: {str(e)}") return TextContent( type="text", text=f"Failed to get voices, tool temporarily unavailable" )