Feedback Collector
Collects user feedback with text and image support through an Electron application.
About
The Feedback Collector enables users to easily submit feedback, incorporating both text and images, through a dedicated Electron application. It supports various input methods including file selection, drag-and-drop, and clipboard paste for images. The tool is designed for seamless integration with AI tools like Claude Desktop and Cursor via MCP, and offers customizable prompts, window titles, time formats, and timezone settings to tailor the feedback collection process.
Key Features
- Supports text feedback with Markdown prompting
- 1 GitHub stars
- Includes quick response buttons (Submit, Approve, Enough, Cancel)
- Enables image uploads via file selection, drag-and-drop, and clipboard paste
- Provides detailed time information
- Customizable prompts and window titles
Use Cases
- Improving AI tool performance based on user input
- Gathering user feedback for AI models
- Collecting visual examples of issues encountered by users
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