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.
@mrexodia
基本情報
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"github.com/mrexodia/user-feedback-mcp": {
"command": "uv",
"args": [
"--directory",
"c:\\MCP\\user-feedback-mcp",
"run",
"server.py"
],
"timeout": 3600
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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.
.user-feedback.json.uv and a cloned repository.user_feedback tool with project directory and summary arguments.uv run fastmcp dev server.py).It enables a human‑in‑the‑loop workflow, allowing AI coding tools to request feedback from the user before finalizing a task.
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.
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”.
It exposes one tool called `user_feedback`. The tool requires a `project_directory` and a `summary` argument.
Yes, it requires Python and the `uv` package manager. The server is started using `uv run server.py`.
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