How do I install the interactive feedback mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

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Interactive Feedback MCP Server

一个强大的 [MCP 服务器](https://modelcontextprotocol.io/)，在AI辅助开发工具如 [Cursor](https://www.cursor.com)

Local serverstdioPython

What is the Interactive Feedback MCP Server?

Interactive Feedback MCP becomes available to MCP clients through the Interactive Feedback MCP. 一个强大的 MCP 服务器，在AI辅助开发工具如 Cursor 中实现无缝的人机协作工作流程。该服务器允许您运行命令、查看输出结果，并通过直观的图形界面直接向AI提供丰富的文本反馈。.

What Interactive Feedback MCP does

一个强大的 MCP 服务器，在AI辅助开发工具如 Cursor 中实现无缝的人机协作工作流程。该服务器允许您运行命令、查看输出结果，并通过直观的图形界面直接向AI提供丰富的文本反馈。

Practical notes

Maintained by liaosiqian, written in Python.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
run_command	项目的默认执行命令
execute_automatically	是否自动执行命令
suffix_mode	反馈后缀模式（force/smart/none）
button_size	按钮大小设置（small/medium/large/custom）
visible_buttons	可见快捷按钮列表
language	界面语言设置
use_base64_transmission	是否启用Base64图片传输
base64_target_size_kb	Base64传输的目标文件大小
commandSectionVisible	命令区域是否可见
quick_responses	自定义快捷响应按钮配置

How to install the Interactive Feedback MCP Server

{
  "mcpServers": {
    "interactive-feedback-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/interactive-feedback-mcp",
        "run",
        "server.py"
      ],
      "timeout": 600,
      "autoApprove": [
        "interactive_feedback"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Example prompts to try

“Use Interactive Feedback MCP to RIPER.”
“Use Interactive Feedback MCP to Windows.”
“Use Interactive Feedback MCP to macOS.”

Frequently asked questions

一个强大的 [MCP 服务器](https://modelcontextprotocol.io/)，在AI辅助开发工具如 [Cursor](https://www.cursor.com) 中实现无缝的人机协作工作流程。该服务器允许您运行命令、查看输出结果，并通过直观的图形界面直接向AI提供丰富的文本反馈。 Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.