Request and receive interactive feedback for project directories and summaries by sharing context with AI assistants to refine and enhance development workflows.
Enable real-time human-in-the-loop feedback for AI-assisted development. Submit project directory and summary to request interactive review, improving collaboration and accuracy in AI-generated outputs.
A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.
A powerful MCP server that provides interactive user feedback and command execution capabilities for AI-assisted development, featuring a graphical interface with text and image support.