Enables AI assistants to solicit user confirmation and clarification through a standardized Model Context Protocol (MCP) elicitation process.
Sponsored
Implement a Model Context Protocol (MCP) server designed to facilitate robust confirmation and clarification exchanges between AI assistants and users. This server empowers large language models (LLMs) to intelligently prompt users for verification or additional input in various scenarios, from confirming critical actions and clarifying ambiguous requests to verifying understanding and collecting feedback, ensuring reliable and user-aligned AI interactions. It supports a range of pre-defined and custom confirmation dialogs, along with logging and analysis capabilities for audit and improvement.
Key Features
01Collect user satisfaction ratings on AI responses
02Confirm actions before execution with impact details
03Verify AI's understanding before proceeding with tasks
04Clarify ambiguous requests by presenting options
050 GitHub stars
06Ask yes/no confirmation questions
Use Cases
01Verifying AI's understanding of complex tasks or next steps
02Confirming critical actions with users to prevent unintended consequences
03Clarifying ambiguous user requests to ensure correct intent alignment