Tome
Tome is a desktop application designed to make large language models and the Model Context Protocol accessible to everyone. It enables users to connect local or remote LLMs, including OpenAI, Google Gemini, Ollama, LM Studio, and any OpenAI API-compatible endpoint, without requiring technical setup like JSON configuration, Docker, Python, or Node.js. The app provides a streamlined, beginner-friendly interface where users can download, install, and start chatting with MCP-powered models within minutes. MCP support includes a built-in UI for installing, removing, and toggling MCP servers, with compatibility for npm, uvx, Node, and Python-based servers. Through integration with the Smithery.ai registry, users gain one-click access to thousands of MCP servers for tools like search engines, file systems, and third-party APIs. Key features include scheduled tasks that run prompts hourly or at specific daily times, customizable context windows and temperature settings, and native support for tool calls and reasoning