Interactive Feedback
Enables human-in-the-loop workflows for AI-assisted development tools by providing a simple Model Context Protocol (MCP) server.
About
Interactive Feedback allows AI development tools like Cursor, Cline, and Windsurf to solicit feedback from users at critical points in their workflow. This MCP server lets you run commands, view their output, and provide textual feedback directly to the AI, optimizing resource use and improving performance by reducing unnecessary tool calls. It's configured via Qt's QSettings and stores configurations on a per-project basis. Integrates seamlessly by calling the `interactive_feedback` MCP tool.
Key Features
- Enables real-time user feedback for AI assistants
- Reduces the number of tool calls, optimizing resource usage
- Configurable per-project settings
- Compatible with Cursor, Cline, and Windsurf
- Provides a web interface for testing in development mode
- 1 GitHub stars
Use Cases
- Gathering user input before an AI assistant completes a task
- Refining AI-generated code or content based on human feedback
- Validating AI decisions with human oversight
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