https://github.com/nazar256/user-prompt-mcp
A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation
https://github.com/nazar256/user-prompt-mcp
Last synced: 5 months ago
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A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation
- Host: GitHub
- URL: https://github.com/nazar256/user-prompt-mcp
- Owner: nazar256
- License: mit
- Created: 2025-03-31T19:27:27.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-31T19:37:00.000Z (7 months ago)
- Last Synced: 2025-03-31T20:33:18.519Z (7 months ago)
- Language: Go
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
- awesome-mcp-servers - **user-prompt-mcp** - A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation `go` `mcp` `server` `http` `git` `go install nazar256/user-prompt-mcp@latest` (DevOps)
- awesome-mcp-servers - **user-prompt-mcp** - A Model Context Protocol (MCP) server for Cursor that enables requesting user input during generation `go` `mcp` `server` `http` `git` `go install nazar256/user-prompt-mcp@latest` (DevOps)
- awesome-mcp-servers - User Prompt MCP - An MCP server for Cursor that enables requesting user input during generation process. (Community Servers)
- mcp-index - User Prompt - Enables interactive user input requests during AI model generation, facilitating a dynamic exchange with the user. Integrates with MCP-compatible clients to present input prompts via a simple GUI dialog box. (Developer Tools)
README
# 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 `
```bash
user-prompt-mcp --timeout 600 # Set timeout to 10 minutes
```
- Environment variable: `USER_PROMPT_TIMEOUT=`
```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)