Presents AI agent questions and choices to users in a native desktop window for seamless interaction.
Sponsored
Empower your AI agents to engage with users effectively without breaking their workflow. This Model Context Protocol (MCP) server creates a native operating system window (built with Tauri) when an AI agent requires human input, such as choosing from a list of options or providing a custom response. It supports Markdown for rich context display and operates cross-platform on Windows and macOS, ensuring a premium, interruption-free user experience.
Key Features
011 GitHub stars
02Markdown support for detailed question context
03Supports custom user text input and 'Skip' options
04Cross-platform compatibility (Windows, macOS)
05Native desktop window for user interaction
06Configurable server-side timeout for questions
Use Cases
01Allowing AI agents to request user decisions on tasks or options
02Collecting specific feedback or choices from users during an AI-driven workflow
03Providing a rich, native UI for AI interactions requiring human input
