mcp-feedback-collector-final
Advanced tools
A modern MCP server with dual interface (GUI + Web) for AI feedback collection and chat
一个现代化的 Model Context Protocol (MCP) 服务器，提供双重架构：GUI界面 + Web界面，支持AI工作汇报反馈收集和AI智能聊天对话。
# 1. 克隆项目
git clone https://github.com/your-repo/mcp-feedback-collector.git
cd mcp-feedback-collector
# 2. 安装依赖
pip install -r requirements.txt
# 3. 一键启动Web界面
python smart_web_server.py
访问地址: http://127.0.0.1:5000
"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. Use mcp-feedback-collector.open_chat_interface for main window mode."
pip install PyQt6 Pillow requests mcp
在 claude_desktop_config.json 中添加：
{
"mcpServers": {
"mcp-feedback-collector": {
"command": "python",
"args": ["d:/path/to/src/mcp_feedback_collector/server.py"],
"env": {
"PYTHONIOENCODING": "utf-8",
"MCP_DIALOG_TIMEOUT": "600",
"MCP_API_BASE_URL": "https://api.ssopen.top",
"MCP_API_KEY": "your_api_key_here",
"MCP_DEFAULT_MODEL": "gpt-4o-mini",
"MCP_ENABLE_CHAT": "true"
}
}
}
}
配置完成后重启Claude Desktop即可使用。
pip install uvx
uvx install mcp-feedback-collector
{
"mcpServers": {
"mcp-feedback-collector": {
"command": "uvx",
"args": ["mcp-feedback-collector"],
"env": {
"PYTHONIOENCODING": "utf-8",
"MCP_DIALOG_TIMEOUT": "600",
"MCP_API_BASE_URL": "https://api.ssopen.top",
"MCP_API_KEY": "your_api_key_here",
"MCP_DEFAULT_MODEL": "gpt-4o-mini",
"MCP_ENABLE_CHAT": "true"
}
}
}
}
AI工作汇报与反馈收集
# AI调用示例
result = collect_feedback("我已经完成了代码优化工作...")
AI聊天界面
# 打开聊天界面
open_chat_interface()
快速图片选择
图片信息查询
🎯 MCP Feedback Collector v3.1.0
┌─────────────────────────────────────────────────────────┐
│ 🎯 Logo │
├─────────────┬───────────────────────────────────────────┤
│ 💬 AI汇报 │ │
│ 反馈收集 │ 主内容区域 │
├─────────────┤ │
│ 🤖 AI聊天 │ │
│ 智能对话 │ │
└─────────────┴───────────────────────────────────────────┘
📋 AI工作汇报
┌─────────────────────────────────────────┐
│ ✅ MCP Feedback Collector v3.0.0 升级完成│
│ • 从tkinter成功迁移到PyQt6 │
│ • 采用Cherry Studio风格的现代化界面 │
│ • 保持所有API接口向后兼容 │
└─────────────────────────────────────────┘
💬 您的反馈（可选）
┌─────────────────────────────────────────┐
│ [多行文本输入区域] │
└─────────────────────────────────────────┘
🖼️ 图片反馈（可选）
[📁] [📋] [✅] [❌] ← Cherry Studio风格工具栏
[图片1] [图片2] [图片3] ← 小标签预览
🤖 AI智能聊天
┌─────────────────────────────────────────┐
│ 用户: 这张图片里有什么？ [📷图片] │
│ │
│ AI: 我看到这是一张... │
│ [流式响应实时显示] │
└─────────────────────────────────────────┘
💬 输入消息
┌─────────────────────────────────────────┐
│ [输入框] │
└─────────────────────────────────────────┘
[📷] [📋] [🗑️] [🚀] ← 工具栏
# 界面模式配置
MCP_INTERFACE_MODE=both # 界面模式: gui/web/both
MCP_WEB_HOST=127.0.0.1 # Web服务器主机
MCP_WEB_PORT=5000 # Web服务器端口
MCP_WEB_DEBUG=false # Web调试模式
# 基础配置
MCP_DIALOG_TIMEOUT=600 # 对话框超时时间（秒）
# AI聊天配置
MCP_API_BASE_URL=https://api.ssopen.top # API端点
MCP_API_KEY=your_api_key_here # API密钥
MCP_DEFAULT_MODEL=gpt-4o-mini # 默认模型
MCP_ENABLE_CHAT=true # 启用聊天功能
PNG、JPG、JPEG、GIF、BMP、WebP
需要API密钥来使用AI聊天功能？
python smart_web_server.py 即可使用MIT License - 详见 LICENSE 文件
🎯 让AI与用户的交互更高效直观！ 🚀 现代化的MCP反馈收集和AI聊天解决方案
FAQs
A modern MCP server with dual interface (GUI + Web) for AI feedback collection and chat
We found that mcp-feedback-collector-final demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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