Mcp Feedback Collector
What is Mcp Feedback Collector
MCP Feedback Collector is a modern feedback collection tool built on Node.js, designed to gather AI work reports and user feedback efficiently.
Use cases
Use cases include collecting feedback on AI work summaries, managing user interactions during AI dialogues, and enhancing user experience by integrating feedback mechanisms into applications.
How to use
To use MCP Feedback Collector, install the package using ‘npm install’, build the project with ‘npm run build’, and configure it in your Cursor MCP settings. Ensure to restart Cursor to see the server status.
Key features
Key features include a modern UI inspired by VS Code’s dark theme, full integration with Model Context Protocol, support for image uploads and processing, cross-platform compatibility (Windows, macOS, Linux), and high performance addressing stability issues of previous versions.
Where to use
MCP Feedback Collector can be used in various fields such as software development, user experience research, and any scenario requiring structured feedback collection from users regarding AI-generated outputs.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Feedback Collector
MCP Feedback Collector is a modern feedback collection tool built on Node.js, designed to gather AI work reports and user feedback efficiently.
Use cases
Use cases include collecting feedback on AI work summaries, managing user interactions during AI dialogues, and enhancing user experience by integrating feedback mechanisms into applications.
How to use
To use MCP Feedback Collector, install the package using ‘npm install’, build the project with ‘npm run build’, and configure it in your Cursor MCP settings. Ensure to restart Cursor to see the server status.
Key features
Key features include a modern UI inspired by VS Code’s dark theme, full integration with Model Context Protocol, support for image uploads and processing, cross-platform compatibility (Windows, macOS, Linux), and high performance addressing stability issues of previous versions.
Where to use
MCP Feedback Collector can be used in various fields such as software development, user experience research, and any scenario requiring structured feedback collection from users regarding AI-generated outputs.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🎯 MCP Feedback Collector
基于Node.js的现代化MCP反馈收集器，支持AI工作汇报和用户反馈收集。
Cursor配置说明(1.3.6版本)
Cursor配置说明(1.2.2版本,指定之前版本)
{
"mcpServers": {
"mcp-feedback-collector": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"MCP_TRANSPORT_MODE": "stdio",
"MCP_WEB_PORT": "5050"
}
}
}
}Cursor mcp模式配置
使用 npx smd-mcp-feedback-collector@latest 全局启动(在控制台启动一个,之后在cursor中配置)
{
"mcpServers": {
"mcp-feedback-collector": {
"url": "http://localhost:3001/mcp"
}
}
}Stagewise Toobar prompt拦截
# 在命令行窗口中启动服务(你可以自己编写脚本改为后台启动)
npx -y standalone-toolbar-service@latest
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
