All Voice Lab MCP Server

Instructions

Implementation Reference

• allvoicelab_mcp/tools/subtitle_extraction_tool.py:12-208 (handler)

  The MCP tool handler function that implements the subtitle_extraction logic: validates video file (path, existence, format MP4/MOV, size <=2GB), calls AllVoiceLab client to submit extraction task, polls status up to 10min, downloads SRT on success, returns TextContent with file path or status.
  def subtitle_extraction_tool( video_file_path: str, language_code: str = "auto", name: str = None, output_dir: str = None ) -> TextContent: all_voice_lab = get_client() output_dir = all_voice_lab.get_output_path(output_dir) max_polling_time = 600 polling_interval = 10 logging.info( f"Tool called: subtitle_extraction, video_file_path: {video_file_path}, language_code: {language_code}, name: {name}") logging.info(f"Max polling time: {max_polling_time}s, Polling interval: {polling_interval}s") if not video_file_path: logging.warning("Video file path parameter is empty") return TextContent( type="text", text="video_file_path parameter cannot be empty" ) if not os.path.exists(video_file_path): logging.warning(f"Video file does not exist: {video_file_path}") return TextContent( type="text", text=f"Video file does not exist: {video_file_path}" ) _, file_extension = os.path.splitext(video_file_path) file_extension = file_extension.lower() if file_extension not in [".mp4", ".mov"]: logging.warning(f"Unsupported video file format: {file_extension}") return TextContent( type="text", text=f"Unsupported video file format. Only MP4 and MOV formats are supported." ) max_size_bytes = 2 * 1024 * 1024 * 1024 # 2GB in bytes file_size = os.path.getsize(video_file_path) if file_size > max_size_bytes: logging.warning(f"Video file size exceeds limit: {file_size} bytes, max allowed: {max_size_bytes} bytes") return TextContent( type="text", text=f"Video file size exceeds the maximum limit of 2GB. Please use a smaller file." ) try: if all_voice_lab is None: logging.error("all_voice_lab client is not initialized.") return TextContent(type="text", text="Error: AllVoiceLab client not initialized. Please check server setup.") logging.info("Starting subtitle extraction process") project_id = all_voice_lab.subtitle_extraction( video_file_path=video_file_path, language_code=language_code, name=name ) logging.info(f"Subtitle extraction task submitted. Project ID: {project_id}") logging.info(f"Starting to poll extraction status for Project ID: {project_id}") start_time = time.time() completed = False while time.time() - start_time < max_polling_time: try: extraction_info = all_voice_lab.get_extraction_info(project_id) logging.info(f"Extraction status: {extraction_info.status} for Project ID: {project_id}") if extraction_info.status.lower() == "success": logging.info(f"Subtitle extraction completed for Project ID: {project_id}") completed = True if hasattr(extraction_info, 'result') and extraction_info.result: result_url = extraction_info.result logging.info(f"Downloading subtitle file from: {result_url}") try: url = result_url headers = all_voice_lab._get_headers(content_type="", accept="*/*") response = requests.get(url, headers=headers, stream=True) response.raise_for_status() # Get original filename without extension original_filename = os.path.splitext(os.path.basename(video_file_path))[0] timestamp = int(time.time()) random_suffix = ''.join(random.choices('abcdefghijklmnopqrstuvwxyz0123456789', k=6)) filename = f"{original_filename}_subtitle_{timestamp}_{random_suffix}.srt" os.makedirs(output_dir, exist_ok=True) file_path = os.path.join(output_dir, filename) with open(file_path, 'wb') as f: for chunk in response.iter_content(chunk_size=8192): if chunk: f.write(chunk) logging.info(f"Subtitle file saved to: {file_path}") info_parts = [] info_parts.append(f"Subtitle extraction completed successfully.") info_parts.append(f"Project ID: {project_id}") info_parts.append(f"Subtitle file saved to: {file_path}") return TextContent( type="text", text="\n".join(info_parts) ) except Exception as e: logging.error(f"Failed to download subtitle file: {str(e)}") info_parts = [] info_parts.append(f"Subtitle extraction completed successfully.") info_parts.append(f"Project ID: {project_id}") info_parts.append(f"Result URL: {extraction_info.result}") info_parts.append(f"Failed to download subtitle file: {str(e)}") return TextContent( type="text", text="\n".join(info_parts) ) else: info_parts = [] info_parts.append(f"Subtitle extraction completed successfully.") info_parts.append(f"Project ID: {project_id}") info_parts.append("No subtitle file URL available.") return TextContent( type="text", text="\n".join(info_parts) ) elif extraction_info.status.lower() in ["failed", "error"]: logging.error(f"Subtitle extraction failed for Project ID: {project_id}") error_message = "Subtitle extraction failed." if hasattr(extraction_info, 'message') and extraction_info.message: error_message += f" Message: {extraction_info.message}" return TextContent( type="text", text=f"{error_message}\nProject ID: {project_id}" ) logging.info(f"Waiting {polling_interval} seconds before next poll") time.sleep(polling_interval) except Exception as e: logging.error(f"Error while polling extraction status: {str(e)}") time.sleep(polling_interval) if not completed: logging.warning(f"Polling timed out after {max_polling_time} seconds for Project ID: {project_id}") return TextContent( type="text", text=f"Subtitle extraction is still in progress. Please check the status later using the 'get_extraction_info' tool.\n" f"Project ID: {project_id}" ) except FileNotFoundError as e: logging.error(f"Error in subtitle_extraction_tool: {str(e)}") return TextContent(type="text", text=str(e)) except Exception as e: logging.error(f"Failed to extract subtitles: {str(e)}") error_message = f"Failed to extract subtitles. Error: {str(e)}" if hasattr(e, 'response') and e.response is not None: try: error_detail = e.response.json() error_message = f"Failed to extract subtitles: API Error - {error_detail.get('message', str(e))}" except ValueError: # Not a JSON response error_message = f"Failed to extract subtitles: API Error - {e.response.status_code} {e.response.text}" return TextContent( type="text", text=error_message )
• allvoicelab_mcp/server.py:289-311 (registration)

  MCP server registration of the subtitle_extraction tool, including name, detailed description with args and returns.
  mcp.tool( name="subtitle_extraction", description="""[AllVoiceLab Tool] Extract subtitles from a video using OCR technology. This tool processes a video file to extract hardcoded subtitles. The process runs asynchronously with status polling and returns the extracted subtitles when complete. Args: video_file_path (str): Path to the video file (MP4, MOV). Max size 2GB. language_code (str, optional): Language code for subtitle text detection (e.g., 'en', 'zh'). Defaults to 'auto'. name (str, optional): Optional project name for identification. output_dir (str, optional): Output directory for the downloaded result file. It has a default value. Returns: TextContent containing the file path to the srt file or error message. If the process takes longer than expected, returns the project ID for later status checking. Note: - Supported video formats: MP4, MOV - Video file size limit: 10 seconds to 200 minutes, max 2GB. - If the process takes longer than max_polling_time, use 'get_extraction_info' to check status and retrieve results. """ )(subtitle_extraction_tool)