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by paulp-o • Uncategorized
An MCP server tool enabling AI assistants to ask clarifying questions via a separate CLI interface.
Ask clarifying questions during long-running autonomous workflows.
Multi-agent interoperability and question queueing support.
A non-invasive, terminal-based human-in-the-loop interface.
This MCP server allows AI agents to ask single or multiple choice clarifying questions with options for custom input, rejection, and elaboration. It supports multi-agent workflows, multiple renderers, native OS notifications, and multi-language support, enhancing human-in-the-loop interaction in long-running AI tasks. The tool integrates flexibly with various AI environments like Claude Code, Cursor, and OpenCode, and can be used remotely via SSH without disrupting workflows.
Use this tool when you need to ask the user questions during execution. This allows you to: Gather user preferences or requirements Clarify ambiguous instructions Get decisions on implementation choices as you work Offer choices to the user about what direction to take. Usage notes: Users will always be able to select "Other" to provide custom text input Use multiSelect: true to allow multiple answers to be selected for a question Recommend an option unless absolutely necessary, make it the first option in the list and add "(Recommended)" at the end of the label For multiSelect questions, you MAY mark multiple options as "(Recommended)" if several choices are advisable Do NOT use this tool to ask "Is my plan ready?" or "Should I proceed?"
Fetch answers for a previously submitted non-blocking question set. Use this after calling ask_user_questions with nonBlocking: true. Returns the user's answers if available, or current session status if still pending.
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