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.

Page Assist is an open-source Chrome extension designed to provide a streamlined interface for users to interact with their local AI models. This innovative tool allows you to utilize models like Ollama directly from your browser, facilitating tasks such as document management, AI dialogues, and searches. By integrating a sidebar within the browsing environment, Page Assist empowers users to harness the power of their AI capabilities without the need for complex setups or external applications, making it an essential tool for those looking to enhance productivity and creativity during their browsing sessions.