# 下载安装脚本
curl -LsSf https://github.com/your-repo/enhanced-feedback-mcp/install.sh | sh

# 或手动安装
git clone https://github.com/your-repo/enhanced-feedback-mcp.git
cd enhanced-feedback-mcp
chmod +x install.sh
./install.sh

# 1. 克隆项目
git clone https://github.com/your-repo/enhanced-feedback-mcp.git
cd enhanced-feedback-mcp

# 2. 安装依赖
uv sync

# 3. 运行服务器
uv run server.py

{
  "mcpServers": {
    "enhanced-interactive-feedback-mcp": {
      "command": "uv",
      "args": [
        "--directory", "/path/to/enhanced-feedback-mcp",
        "run", "server.py"
      ],
      "timeout": 600,
      "autoApprove": [
        "interactive_feedback",
        "get_feedback_analytics",
        "create_feedback_template",
        "execute_with_feedback"
      ]
    }
  }
}

在完成任何任务之前，请务必调用 interactive_feedback MCP工具来获取用户反馈。
使用中文进行交互，并根据任务类型选择合适的 feedback_type。
如果反馈为空，可以结束请求，但不要循环调用。

# AI助手调用示例
interactive_feedback(
    project_directory="/path/to/project",
    message="我已经实现了用户登录功能，需要您确认是否符合要求？",
    feedback_type="confirmation",
    language="zh",
    priority="medium"
)

interactive_feedback(
    project_directory="/path/to/project", 
    message="请审查这个新增的用户认证模块",
    feedback_type="code_review",
    language="zh",
    tags=["authentication", "security"],
    priority="high"
)

execute_with_feedback(
    command="npm test",
    project_directory="/path/to/project",
    require_confirmation=True,
    language="zh"
)

get_feedback_analytics(
    project_directory="/path/to/project",
    days=30
)

# templates/custom_template.yaml
type: "custom"
content:
  en: "Custom template: {message}"
  zh: "自定义模板：{message}"

# plugins/custom_plugin.py
class CustomPlugin:
    def on_feedback_received(self, feedback):
        # 自定义处理逻辑
        pass

# 配置Webhook通知
notifications:
  webhook:
    url: "https://your-webhook.com/feedback"
    headers:
      Authorization: "Bearer your-token"