User Prompt
Enables Cursor users to provide additional input during AI generation through interactive dialog boxes, creating a more dynamic ex
User Prompt MCP provides a bridge between Cursor and users by enabling the AI to request additional input during generation without ending the process. Developed by nazar256, this Go implementation uses the mark3labs/mcp-go library and offers a cross-platform GUI solution that works on both Linux (using zenity) and macOS (using osascript). The server handles timeout scenarios, presents input prompts in dialog boxes with text wrapping, and communicates with Cursor via stdio transport, making it ideal for creating more interactive AI experiences where the model needs clarification or additional information mid-generation.
Source
Repository: https://github.com/nazar256/user-prompt-mcp
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