Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
Project description
Cursor Feedback MCP
🔧 项目说明
基于 mcp-feedback-enhanced 项目进行定制开发,感谢原作者的贡献!
本版本修复了以下问题并新增功能:
✅ 已修复问题
- 超时设置问题:修复了超时时间永远是 600s 的问题,现已修复默认 24 小时超时 ,可以长时间等待反馈啦
- 图片上传问题:修复了无法上传图片报错序列号错误的问题,现已支持更多类型图 片 😁🎉
- 断网重连功能:新增断网不断链接功能,现在可以离线同一个会话等待(适合使用 手机热点为电脑提供互联网的场景)
🚀 如何使用
方式一:使用 uvx 直接安装(推荐)
# 直接使用 uvx 运行
uvx cursor-feedback-mcp
# 或者安装后使用
uv tool install cursor-feedback-mcp
cursor-feedback-mcp
方式二:在 Cursor 中配置
{
"mcpServers": {
"cursor-feedback-mcp": {
"command": "uvx",
"args": ["cursor-feedback-mcp"],
"timeout": 86400,
"env": {
"MCP_DEBUG": "false",
"MCP_WEB_HOST": "127.0.0.1",
"MCP_WEB_PORT": "8765",
"MCP_DESKTOP_MODE": "false",
"MCP_LANGUAGE": "zh-CN"
},
"autoApprove": ["interactive_feedback"]
}
}
}
方式三:本地开发模式
Fork 本项目到本地,在 Cursor 中配置:
{
"mcpServers": {
"cursor-feedback-mcp-local": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/your/cursor_feedback_mcp",
"python",
"-m",
"cursor_feedback_mcp"
],
"timeout": 86400,
"env": {
"MCP_DEBUG": "false",
"MCP_WEB_HOST": "127.0.0.1",
"MCP_WEB_PORT": "8765",
"MCP_DESKTOP_MODE": "false",
"MCP_LANGUAGE": "zh-CN"
},
"autoApprove": ["interactive_feedback"]
}
}
}
注意:请将
/path/to/your/cursor_feedback_mcp改为您本地的项目位置。
📸 界面预览
主界面 - 支持提示管理、自动提交、会话跟踪上传图片等功能
超时功能展示 - 智能工作流程和现代化体验
📦 安装与发布
从 PyPI 安装
# 使用 uvx 直接运行
uvx cursor-feedback-mcp
# 或使用 pip 安装
pip install cursor-feedback-mcp
# 或使用 uv 安装
uv tool install cursor-feedback-mcp
本地开发
# 克隆项目
git clone https://github.com/zhajiahe/cursor-feedback-mcp.git
cd cursor-feedback-mcp
# 安装依赖
uv sync
# 运行测试
uv run pytest
# 本地构建
uv build
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