Feedbackjs Mcp
What is Feedbackjs Mcp
feedbackjs-mcp is a Feedback Collector MCP Tool designed for collecting user feedback through an Electron application, supporting both text and image inputs.
Use cases
Use cases for feedbackjs-mcp include gathering user opinions on software features, collecting bug reports, and receiving suggestions for improvements in applications.
How to use
To use feedbackjs-mcp, clone the repository, install the necessary dependencies, build the application, and configure it within your AI tool’s MCP settings.
Key features
Key features include text feedback with markdown support, image uploads via file selection or drag-and-drop, quick response buttons, and detailed time information.
Where to use
feedbackjs-mcp can be utilized in various fields such as software development, user experience research, and any application requiring user feedback collection.
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 Feedbackjs Mcp
feedbackjs-mcp is a Feedback Collector MCP Tool designed for collecting user feedback through an Electron application, supporting both text and image inputs.
Use cases
Use cases for feedbackjs-mcp include gathering user opinions on software features, collecting bug reports, and receiving suggestions for improvements in applications.
How to use
To use feedbackjs-mcp, clone the repository, install the necessary dependencies, build the application, and configure it within your AI tool’s MCP settings.
Key features
Key features include text feedback with markdown support, image uploads via file selection or drag-and-drop, quick response buttons, and detailed time information.
Where to use
feedbackjs-mcp can be utilized in various fields such as software development, user experience research, and any application requiring user feedback collection.
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
Feedback Collector MCP Tool
Collect user feedback with text and image support through an Electron app.
Quick Setup
- Clone repository:
git clone https://github.com/ceciliomichael/feedback-js.git
cd feedbackjs-mcp
- Install dependencies:
npm install
- Build the application:
npm run make
Cross-Platform Building
The app can be built for Windows, macOS, and Linux platforms:
# Build for the current platform only
npm run make
# Build for specific platforms
npm run make:win # Windows only
npm run make:mac # macOS only
npm run make:linux # Linux only
# Build for all platforms
npm run make:all
Note: Building for macOS from Windows or Linux requires additional setup:
- For code signing, you need an Apple Developer account
- For proper macOS builds from non-macOS platforms, consider using a CI service like GitHub Actions
MCP Configuration
Add to your AI tool configuration (works with Claude Desktop, Cursor, and other MCP clients):
{
"mcpServers": {
"feedback-collector": {
"command": "node",
"args": [
"/absolute/path/to/mcp-server.js"
]
}
}
}Tool Parameters
| Parameter | Type | Description | Default |
|---|---|---|---|
prompt |
string | Message to display | “Please provide feedback” |
title |
string | Window title | “AI Feedback Collection” |
time_format |
enum | Time format (full, iso, date, time, unix) | “full” |
timezone |
string | Timezone | Local timezone |
Features
- Text feedback with markdown prompt support
- Image uploads (file selection, drag-and-drop, clipboard paste)
- Quick response buttons (Submit, Approve, Enough, Cancel)
- Detailed time information
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.
