MCP反馈收集器
About
An MCP server for collecting interactive user feedback through a graphical user interface.
Details
- Author
- zhaobu
- Categories
- Communication
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Setup
Install MCP反馈收集器 in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/zhaobu/mcp-feedback-collector
Follow the installation instructions in the repository README, then restart your MCP client.
一个现代化的 Model Context Protocol (MCP) 服务器，为AI助手提供交互式用户反馈收集功能。
"Whenever you want to ask a question, always call the MCP .
Whenever you're about to complete a user request, call the MCP instead of simply ending the process. Keep calling MCP until the user's feedback is empty, then end the request. mcp-feedback-collector.collect_feedback "
油管：https://youtu.be/aYtGm1xHNXIB站：https://www.bilibili.com/video/BV1J6jyzQE8P/
- 🎨现代化界面- 美观的700x800像素GUI，支持中文界面，窗口居中显示并自动置顶
- ⌨️增强键盘交互- 支持Enter 提交、Esc 取消、Ctrl+V 直接粘贴图片
- 📷多图片支持- 同时选择多张图片，支持文件选择和剪贴板粘贴
- 💬灵活反馈- 支持纯文字、纯图片或文字+图片组合反馈
- ⚡零配置安装- 使用uvx一键安装，无需复杂配置
- 🔧智能超时- 可配置的对话框超时时间，避免操作中断
{ "mcpServers": { "mcp-feedback-collector": { "command": "uvx", "args": ["mcp-feedback-collector"], "env": { "PYTHONIOENCODING": "utf-8", "MCP_DIALOG_TIMEOUT": "600" } } } }
# AI调用示例 result = collect_feedback("我已经完成了代码优化工作...")
🎯 工作完成汇报与反馈收集 ┌─────────────────────────────────────────┐ │ 📋 AI工作完成汇报 │ │ ┌─────────────────────────────────────┐ │ │ │ [AI汇报的工作内容显示在这里] │ │ │ └─────────────────────────────────────┘ │ └─────────────────────────────────────────┘ ┌─────────────────────────────────────────┐ │ 💬 您的文字反馈（可选） │ │ ┌─────────────────────────────────────┐ │ │ │ [多行文本输入区域] │ │ │ └─────────────────────────────────────┘ │ └─────────────────────────────────────────┘ ┌─────────────────────────────────────────┐ │ 🖼️ 图片反馈（可选，支持多张） │ │ [📁选择文件] [📋粘贴] [❌清除] │ │ [图片缩略图预览区域] │ └─────────────────────────────────────────┘ [✅ 提交反馈] [❌ 取消]
- MCP_DIALOG_TIMEOUT: 对话框等待时间（秒）
- 默认：300秒（5分钟）
- 建议：600秒（10分钟）
- 复杂操作：1200秒（20分钟）
- ✅ AI完成任务后收集用户评价
- ✅ 收集包含截图的详细反馈
- ✅ 获取用户对代码/设计的意见
- ✅ 收集bug报告和改进建议
- MCP框架: FastMCP
- GUI: tkinter + PIL
- 多线程: threading + queue
- 图片处理: Pillow
- 🎨 全新现代化UI设计
- 📷 多图片同时提交支持
- 🖼️ 横向滚动图片预览
- 💫 彩色按钮和图标
- 🔧 优化用户体验
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