官方说明3 个来源MCP 服务3 天前
nazar256/user-prompt-mcp
User input requests for Cursor
在 GitHub 查看 ↗直链 · 无中转页
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
- 评分构成
- 综合分 303 · 3 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-10-14；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记
User Prompt MCP
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
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:
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+):
Manual Installation
You can also download pre-compiled binaries directly from the Releases page.
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:
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:
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:
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+):
Manual Installation
You can also download pre-compiled binaries directly from the Releases page.
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:
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:
- 来源
- awesome · https://github.com/nazar256/user-prompt-mcp
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