mcp-interactive
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-interactiveAsk the user for feedback on the proposed changes."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-interactive
English | 简体中文
MCP 服务器,用于在 AI 辅助开发过程中收集用户的交互式反馈。通过引导 AI 与用户确认而非自行猜测,减少不必要的工具调用,降低平台成本,提高开发效率。
工作流程
AI 调用
interactive_feedback工具自动打开浏览器界面(Web UI)
用户输入反馈文本、上传截图、选择常用提示词
通过 WebSocket 实时传递给 AI
AI 根据反馈调整行为或结束任务
安装
pip install uv配置
将以下内容添加到 MCP 配置文件:
{
"mcpServers": {
"mcp-interactive": {
"command": "uvx",
"args": ["mcp-interactive@latest"],
"timeout": 600,
"autoApprove": ["interactive_feedback"]
}
}
}支持的 AI 平台:Cursor | Cline | Windsurf | Augment | Trae
环境变量
变量 | 说明 | 默认值 |
| Web UI 监听地址 |
|
| Web UI 端口 |
|
| 界面语言 ( | 自动检测 |
| 调试模式 |
|
SSH 远程开发时,将 MCP_WEB_HOST 设为 0.0.0.0 以允许远程访问,或使用 SSH 端口转发。
功能
提示词管理 - 常用提示词的增删改查和智能排序
自动定时提交 - 1-86400 秒可配置定时器,支持暂停/恢复
图片上传 - 拖放、粘贴,支持 PNG/JPG/GIF/BMP/WebP
多语言 - 简体中文、English,即时切换
WebSocket 实时通信 - 状态监控、自动重连
开发
git clone https://github.com/RealAlexandreAI/mcp-interactive.git
cd mcp-interactive
uv sync
# 测试
make test # 单元测试
make test-web # Web UI 测试
uv run python scripts/mcp_stdio_smoke.py # MCP stdio 握手烟测(initialize/list/call,默认非阻塞)
uv run python scripts/mcp_stdio_smoke.py --exercise-interactive --call-timeout 5
# 代码检查
make check # 完整检查(lint + format + type)致谢
License
MIT
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