Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Feedback Enhanced collect feedback on my new UI design with image uploads"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
感谢f的反馈项目，本版本修复了以下问题并新增功能：
超时设置问题：修复了超时时间永远是 600s 的问题，现已修复默认 24 小时超时 ，可以长时间等待反馈啦
图片上传问题：修复了无法上传图片报错序列号错误的问题，现已支持更多类型图 片 😁🎉
断网重连功能：新增断网不断链接功能，现在可以离线同一个会话等待（适合使用 手机热点为电脑提供互联网的场景）
Fork 本项目到本地，在 Cursor 中配置：
{
"mcpServers": {
"mcp-shouji-local": {
"command": "uv",
"args": [
"run",
"--directory",
"C:\\Users\\Administrator\\Desktop\\project\\mcp-shouji-main",
"python",
"-m",
"mcp_shouji"
],
"timeout": 86400,
"env": {
"MCP_DEBUG": "false",
"MCP_WEB_HOST": "127.0.0.1",
"MCP_WEB_PORT": "8765",
"MCP_DESKTOP_MODE": "false",
"MCP_LANGUAGE": "zh-CN"
},
"autoApprove": ["interactive_feedback"]
}
}
}注意：请将
"C:\\Users\\Administrator\\Desktop\\project\\mcp-shouji-main"改 为您本地的项目位置，这样可以实现本地高自由度的定制。
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.
X feedback discovery, noise-reduced query planning, signal filtering, and AI handoffs.
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