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User Feedback MCP Server

@mrexodia

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

mrexodia

关于 User Feedback MCP Server

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.

#mcp#cursor#cline#mcp-server#modelcontextprotocol

User Feedback MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "github.com/mrexodia/user-feedback-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "c:\\MCP\\user-feedback-mcp",
        "run",
        "server.py"
      ],
      "timeout": 3600
    }
  }
}

User Feedback MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is User Feedback MCP?

User Feedback MCP is a simple MCP server that introduces a human-in-the-loop workflow into AI‑assisted coding tools like Cline and Cursor. It is designed for developers who need to collect user feedback before completing tasks, especially when testing complex desktop application interactions.

How to use User Feedback MCP?

Install the uv package manager globally, clone this repository, then add the server to your Cline MCP configuration file (cline_mcp_settings.json) using the command uv --directory <path> run server.py. Optionally add the custom prompt “Before completing the task, use the user_feedback MCP tool to ask the user for feedback.” to your prompt. The server reads a .user-feedback.json file in your project directory to optionally auto‑execute a command.

Key features of User Feedback MCP

  • Human‑in‑the‑loop feedback for AI coding assistants.
  • Works with Cline, Cursor, and other MCP‑compatible tools.
  • Configurable command execution via .user-feedback.json.
  • Simple installation using uv and a cloned repository.
  • Provides a single user_feedback tool with project directory and summary arguments.
  • Web UI for testing during development (via uv run fastmcp dev server.py).

Use cases of User Feedback MCP

  • Ask for user approval before marking a code‑edit task as completed.
  • Test desktop applications that require manual interaction steps.
  • Validate complex changes by presenting a summary to the user.

常见问题

1

What is the purpose of this MCP server?

It enables a human‑in‑the‑loop workflow, allowing AI coding tools to request feedback from the user before finalizing a task.

2

How do I install User Feedback MCP?

Install `uv` globally (e.g., `pip install uv` on Windows or the official install script on Linux/Mac), clone the repository, then add the server configuration to your Cline MCP settings.

3

What configuration file does it use?

The server reads a `.user-feedback.json` file in your project directory. It can contain a `command` to run and an `execute_automatically` flag to run it without clicking “Run”.

4

What tools does User Feedback MCP expose?

It exposes one tool called `user_feedback`. The tool requires a `project_directory` and a `summary` argument.

5

Does it have any runtime dependencies?

Yes, it requires Python and the `uv` package manager. The server is started using `uv run server.py`.

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