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User Feedback

by mrexodia
GitHub
Python
MIT License
43
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用户反馈 MCP

简单的MCP 服务器，可在Cline和Cursor等工具中实现人机交互工作流。这对于开发需要进行复杂用户交互测试的桌面应用程序尤其有用。

显示反馈 UI 的屏幕截图

快速工程

为了获得最佳效果，请将以下内容添加到您的自定义提示中：

在完成任务之前，使用 user_feedback MCP 工具向用户征求反馈。

这将确保 Cline 在将任务标记为完成之前使用此 MCP 服务器来请求用户反馈。

.user-feedback.json

点击*“保存配置”*会在您的项目目录中创建一个.user-feedback.json文件，如下所示：

{ "command": "npm run dev", "execute_automatically": false }

此配置将在启动时加载，如果启用了execute_automatically ，您的command将立即执行（无需手动点击*“运行*”）。对于多步骤命令，您应该使用类似Task 的命令。

装置（克莱恩）

要在 Cline 中安装 MCP 服务器，请按照以下步骤操作（见屏幕截图）：

显示安装步骤的屏幕截图

  1. 全局安装uv ：
    • Windows： pip install uv
    • Linux/Mac： curl -LsSf https://astral.sh/uv/install.sh | sh
  2. 克隆此存储库，本例中为C:\MCP\user-feedback-mcp 。
  3. 导航到 Cline MCP 服务器配置（见屏幕截图）。
  4. 单击*“已安装*”选项卡。
  5. 单击配置 MCP 服务器，将打开cline_mcp_settings.json 。
  6. 添加user-feedback-mcp服务器：
{ "mcpServers": { "github.com/mrexodia/user-feedback-mcp": { "command": "uv", "args": [ "--directory", "c:\\MCP\\user-feedback-mcp", "run", "server.py" ], "timeout": 600, "autoApprove": [ "user_feedback" ] } } }

发展

uv run fastmcp dev server.py

这将在http://localhost:5173打开一个 Web 界面并允许您与 MCP 工具进行交互以进行测试。

可用工具

<use_mcp_tool> <server_name>github.com/mrexodia/user-feedback-mcp</server_name> <tool_name>user_feedback</tool_name> <arguments> { "project_directory": "C:/MCP/user-feedback-mcp", "summary": "I've implemented the changes you requested." } </arguments> </use_mcp_tool>
Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

简单的 MCP 服务器，可在 Cline 和 Cursor 等工具中实现人机交互工作流。这对于开发需要测试复杂用户交互的桌面应用程序尤其有用。

  1. 快速工程
    1. .user-feedback.json
      1. 装置（克莱恩）
        1. 发展
          1. 可用工具

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