Summarify is designed to transform the way you interact with YouTube content. It offers multiple summary styles—simple, bullet points, and detailed formats. The app includes convenient features like history tracking, share extension, and customizable export options. Ideal for both casual viewers and professionals, Summarify ensures you get the most out of every video.

MCP-Ollama-Client provides a unified interface to communicate with Ollama’s language models running locally. It supports full-duplex multi-turn dialogues with automatic history tracking, live streaming of completion tokens, and dynamic prompt templates. Developers can choose between installed models, customize hyperparameters like temperature and max tokens, and monitor usage metrics directly in the terminal. The client exposes a simple REST-like API wrapper for integration into automation scripts or local applications. With built-in error reporting and configuration management, it streamlines the development and testing of LLM-powered workflows without relying on external APIs.