MCP server that asks users clarifying questions when uncertain, remembers their choices using local embeddings, and automatically answers similar future queries based on learned preferences.
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.
An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.
A cross-platform MCP server that provides native popup windows for AI agents to gather user feedback, input, and safety confirmations. It enables agents to present interactive questionnaires and secure confirmation prompts for sensitive operations like file deletion or code execution.
MCP server enabling AI agents to request user feedback during tasks, reducing wasted API calls. Optimized for data sync workflows with tools for audience sync confirmation, DMP verification, and rollback confirmation.