MCP Video Parser

{ "storage": { "base_path": "./video_data", "max_cache_size_gb": 50, "cleanup_after_days": 30 }, "processing": { "frame_sample_rate": 30, "enable_scene_detection": true, "scene_threshold": 0.3, "max_frames_per_video": 1000, "frame_quality": 85, "frame_format": "jpg", "audio": { "model": "base", "language": "en", "enable_timestamps": true } }, "llm": { "ollama_host": "http://localhost:11434", "vision_model": "llava:latest", "text_model": "llama2:latest", "embedding_model": "nomic-embed-text", "max_context_length": 4096, "temperature": 0.7, "timeout_seconds": 60, "_comment_vision_model": "The vision_model (like llava:latest) is used for analyzing video frames and understanding visual content", "_comment_text_model": "The text_model (like llama2:latest) is used for generating summaries, answering questions, and chat interactions", "_comment_chat_vs_video": "Chat LLM is specified when starting the client with --chat-llm flag. Video LLM is this text_model config." }, "performance": { "max_concurrent_videos": 2, "frame_batch_size": 10, "enable_gpu": true, "thread_count": 4 }, "logging": { "level": "INFO", "format": "json", "file": "logs/mcp-video-server.log" } }