Prompt for User Input
Enables AI models to prompt users for input directly within their code editor for interactive conversations.
Install
Install and configure the MCP from https://github.com/goldensansapple/prompt-for-user-input-mcp now. Follow the repository's installation instructions, ask me for anything you can't complete yourself, and verify its tools load.README
Prompt for User Input MCP Server
A Model Context Protocol (MCP) server that enables AI models to prompt users for input directly through their code editor. This creates an interactive experience where AI assistants can ask questions, request clarification, or gather information from users in real time during conversations.
Suggested System Prompt
IMPORTANT: Do not finish responding until explicitly told to do so; instead, always use the MCP `prompt_for_user_input`. If you feel stuck, are experiencing issues, have a question, or have finished the work, always communicate with the user using this MCP. The prompts you give the user must be simple. It's fine if they contain a lot of information, but they must not be in Markdown since it will not render properly. The prompts should be written almost entirely in prose.
Command
Run the server:
uv run uvicorn mcp_server:app --port 4444
Environment Variables
Both the MCP server and the Cursor MCP configuration require the following environment variable:
PROMPT_FOR_USER_INPUT_MCP_AUTH_TOKEN=<your-authentication-token>
Related servers
Everythingmodelcontextprotocol91KReference / test server with prompts, resources, and toolsFetchmodelcontextprotocol91KWeb content fetching and conversion for efficient LLM usageFilesystemmodelcontextprotocol91KSecure file operations with configurable access controlsGitmodelcontextprotocol91KTools to read, search, and manipulate Git repositories
