user-prompt-mcp

# User Prompt MCP A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation. This is mostly AI-generated code. ## Overview This project implements an MCP server that allows Cursor (or any MCP-compatible client) to request additional input from users during model generation without ending the generation process. It serves as a bridge between the AI model and the user, creating a more interactive experience. ## Features - **User Input Prompting**: Allows the AI to ask for more information during generation - **Simple GUI**: Presents input prompts in a dialog box with text wrapping - **Cross-Platform**: Should work on both Linux (tested) and macOS - **Stdio Transport**: Integration with Cursor via stdio ## Installation ### Prerequisites - For GUI functionality: - Linux: zenity - macOS: osascript (built-in) ### Quick Install (Recommended) The easiest way to install user-prompt-mcp is using our installation script, which automatically downloads the appropriate binary for your system: ```bash # Install the latest version curl -sSL https://raw.githubusercontent.com/nazar256/user-prompt-mcp/main/install.sh | bash # Or install a specific version curl -sSL https://raw.githubusercontent.com/nazar256/user-prompt-mcp/main/install.sh | bash -s -- -v v1.0.0 ``` The installation script will: - Detect your OS and architecture (Linux or macOS, amd64 or arm64) - Download the appropriate pre-compiled binary - Install it to a suitable directory in your PATH - Make it executable ### Install from source If you prefer to build from source (requires Go 1.18+): ```bash go install github.com/nazar256/user-prompt-mcp/cmd/user-prompt-mcp@latest ``` ### Manual Installation You can also download pre-compiled binaries directly from the [Releases page](https://github.com/nazar256/user-prompt-mcp/releases). ## Usage with Cursor 1. Open Cursor and go to Settings 2. Navigate to the MCP Servers section and add a new server by editing JSON: ```json { "mcpServers": { "prompt": { "command": "user-prompt-mcp" } } } ``` 3. Save and refresh 4. Add to global rules something like: "Important - do not finish responding until explicitly told to do so, instead always use MCP `input_user_prompt` and wait for response in all cases, either you feel stuck, you have question or you finished work on a prompt - always communicate with the user using this MCP." ### Configuration The server can be configured using command-line flags or environment variables: #### Timeout Configuration By default, the server will wait 20 minutes for user input before timing out. You can customize this timeout using: - Command line flag: `--timeout <seconds>` ```bash user-prompt-mcp --timeout 600 # Set timeout to 10 minutes ``` - Environment variable: `USER_PROMPT_TIMEOUT=<seconds>` ```bash export USER_PROMPT_TIMEOUT=1800 # Set timeout to 30 minutes user-prompt-mcp ``` Now when using Cursor, the AI can request additional input from you without ending its generation. ## License MIT ## Acknowledgements - [Model Context Protocol](https://modelcontextprotocol.io) - [mark3labs/mcp-go](https://github.com/mark3labs/mcp-go)