官方说明10 个来源MCP 服务8 天前
mrexodia/user-feedback-mcp
🐍 🏠 - Enable a human-in-the-loop feedback workflow in AI coding tools
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add user-feedback-mcp -- npx -y user-feedback-mcp
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 54 ★ · mrexodia/user-feedback-mcp · 取自 GitHub 搜索 API · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 54 ★ · 10 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
mrexodia/user-feedback-mcp；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
User Feedback MCP
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
Prompt Engineering
For the best results, add the following to your custom prompt:
> Before completing the task, use the user_feedback MCP tool to ask the user for feedback.
This will ensure Cline uses this MCP server to request user feedback before marking the task as completed.
.user-feedback.json
Hitting _Save Configuration_ creates a .user-feedback.json file in your project directory that looks like this:
This configuration will be loaded on startup and if execute_automatically is enabled your command will be instantly executed (you will not have to click _Run_ manually). For multi-step commands you should use something like Task.
Installation (Cline)
To install the MCP server in Cline, follow these steps (see screenshot):
1. Install uv globally:
- Windows: pip install uv
- Linux/Mac: curl -LsSf https://astral.sh/uv/install.sh | sh
2. Clone this repository, for this example C:\MCP\user-feedback-mcp.
3. Navigate to the Cline _MCP Servers_ configuration (see screenshot).
4. Click on the _Installed_ tab.
5. Click on _Configure MCP Servers_, which will open cline_mcp_settings.json.
6. Add the user-feedback-mcp server:
Development
This will open a web interface at http://localhost:5173 and allow you to interact with the MCP tools for testing.
Available tools
Prompt Engineering
For the best results, add the following to your custom prompt:
> Before completing the task, use the user_feedback MCP tool to ask the user for feedback.
This will ensure Cline uses this MCP server to request user feedback before marking the task as completed.
.user-feedback.json
Hitting _Save Configuration_ creates a .user-feedback.json file in your project directory that looks like this:
This configuration will be loaded on startup and if execute_automatically is enabled your command will be instantly executed (you will not have to click _Run_ manually). For multi-step commands you should use something like Task.
Installation (Cline)
To install the MCP server in Cline, follow these steps (see screenshot):
1. Install uv globally:
- Windows: pip install uv
- Linux/Mac: curl -LsSf https://astral.sh/uv/install.sh | sh
2. Clone this repository, for this example C:\MCP\user-feedback-mcp.
3. Navigate to the Cline _MCP Servers_ configuration (see screenshot).
4. Click on the _Installed_ tab.
5. Click on _Configure MCP Servers_, which will open cline_mcp_settings.json.
6. Add the user-feedback-mcp server:
Development
This will open a web interface at http://localhost:5173 and allow you to interact with the MCP tools for testing.
Available tools
- 来源
- awesome · https://github.com/mrexodia/user-feedback-mcp
- 按领域浏览
- MCP 服务
- Traction
- 54 ★
- 收录于
- 昨天
更多MCP 服务
所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。