mcp-feedback-nodesktop

A web-based Interactive Feedback server for MCP (Model Context Protocol), designed for headless Linux servers. Replaces the desktop GUI (PySide6) approach with a browser-based interface that supports full CJK input and bilingual UI (English/Chinese).

Why This Project?

The original interactive-feedback-mcp uses PySide6 (Qt) to display a desktop feedback dialog. This doesn't work on headless Linux servers, and even with X11 forwarding, the Windows input method (IME) cannot be used in the forwarded window.

mcp-feedback-nodesktop solves this by serving the feedback UI as a web page. The browser on your local machine handles everything — including Chinese/Japanese/Korean input — natively.

Related MCP server: mcp-feedback-enhanced

Architecture

┌───────────────────────────────────────────────────────────────┐
│                    Linux Server (headless)                     │
│                                                               │
│  ┌──────────────┐    HTTP (127.0.0.1)   ┌──────────────────┐  │
│  │  server.py   │ ───────────────────>  │  web_feedback.py │  │
│  │  (MCP Server)│                       │  (Web Server)    │  │
│  │  stdio       │ <───────────────────  │  port 8765       │  │
│  └──────┬───────┘    feedback result    └────────┬─────────┘  │
│         │                                        │            │
│         │ stdin/stdout                           │ HTTP       │
└─────────┼────────────────────────────────────────┼────────────┘
          │                                        │
          │ SSH tunnel                             │ LAN
          │                                        │
┌─────────┼────────────────────────────────────────┼────────────┐
│         ▼        Local Machine (Windows/Mac)     ▼            │
│  ┌──────────────┐                   ┌────────────────────┐    │
│  │   Cursor IDE │                   │   Browser          │    │
│  │              │                   │   http://IP:8765   │    │
│  └──────────────┘                   │   Full IME support │    │
│                                     └────────────────────┘    │
└───────────────────────────────────────────────────────────────┘

How It Works

1. Cursor IDE invokes server.py on the Linux server via SSH (MCP stdio transport)

2. When AI requests user feedback, server.py launches web_feedback.py in client mode

3. The client sends a feedback request to the Web Server (port 8765) via HTTP API

4. The browser receives the request via long polling and displays a feedback form

5. User types feedback in the browser (with full native IME support) and submits

6. The Web Server returns the result to the client, which writes it to a temp file

7. server.py reads the result and returns it to Cursor

Quick Start

Docker (Recommended)

docker compose up -d
docker compose ps   # STATUS should show "healthy"

The container uses restart: unless-stopped, so it will automatically start after system reboot (as long as Docker is enabled).

Manual Installation

python3 -m venv .venv
.venv/bin/pip install fastmcp pydantic
.venv/bin/python web_feedback.py --server

systemd Service

Create /etc/systemd/system/mcp-web-feedback.service:

[Unit]
Description=MCP Web Feedback Server
After=network.target

[Service]
Type=simple
User=root
WorkingDirectory=/path/to/mcp-feedback-nodesktop
ExecStart=/path/to/mcp-feedback-nodesktop/.venv/bin/python web_feedback.py --server
Restart=always
RestartSec=5

[Install]
WantedBy=multi-user.target

systemctl daemon-reload
systemctl enable --now mcp-web-feedback

Usage

1. Start the Web Server

Deploy using any method above. Verify:

curl http://127.0.0.1:8765/api/status
# {"status": "running"}

2. Open the Browser (Important!)

Navigate to http://<server-ip>:8765 on your local machine.

You must keep this browser tab open at all times. The page will automatically receive new feedback requests via long polling — no manual refresh needed. When a new request arrives, the tab title will flash and a browser notification will appear (if permitted).

Note: The web server cannot automatically open a browser on your local machine. You need to open the URL manually once. After that, just keep the tab open.

3. Configure Cursor MCP

Add to your Cursor MCP configuration (.cursor/mcp.json).

For Docker deployment on the same machine:

{
  "mcpServers": {
    "interactive-feedback": {
      "command": "docker",
      "args": ["exec", "-i", "mcp-web-feedback", "python", "server.py"],
      "timeout": 600,
      "autoApprove": ["interactive_feedback"]
    }
  }
}

For remote access via SSH (e.g., from a Windows machine):

{
  "mcpServers": {
    "interactive-feedback": {
      "command": "ssh",
      "args": [
        "your-server",
        "docker exec -i mcp-web-feedback python server.py"
      ],
      "timeout": 600,
      "autoApprove": ["interactive_feedback"]
    }
  }
}

Tip: The -i flag in docker exec -i is required to keep stdin open for MCP stdio transport.

4. Features

• Bilingual UI (English/Chinese) with auto language detection and manual switch

• Tab title flashes when a new request arrives

• Browser notification support (requires permission)

• Enter to submit, Shift+Enter for newline

• "No feedback" button for quick empty submission

• Page automatically returns to waiting state after submission

web_feedback.py Dual Mode

# Server mode: start the persistent web server
python web_feedback.py --server

# Client mode: send a request and wait for response
python web_feedback.py \
  --project-directory /path/to/project \
  --prompt "Please provide feedback" \
  --output-file /tmp/result.json

In client mode, if no server is detected, it automatically starts one as a daemon.

API Reference

File Structure

Troubleshooting

Credits

Based on interactive-feedback-mcp by Fábio Ferreira (MIT License). Modified to use a web-based UI instead of PySide6 desktop GUI.