Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.
Enables to run structured QuReDec decision briefs from inside MCP-compatible clients, submitting questions and receiving evidence-backed recommendations with citations.
Enables AI assistants to request human input through interactive GUI dialogs with quiz-style questions, supporting multiple choice and free-form responses for clarification, decisions, and knowledge extraction.
An MCP App that enables AI agents to ask users multiple questions with tab-based navigation, multiple-choice options, multi-select support, and custom text input, all rendered inline in the conversation.
An MCP server that enables human-in-the-loop elicitation, letting AI agents ask users questions via tools like elicit_confirm and elicit_form, with diagnostics to verify host elicitation support.