Feedback Loop
Enables human-in-the-loop workflows for AI-assisted development tools, providing a UI for command execution, output display, and direct user feedback.
About
The Feedback Loop MCP server is designed to bridge the gap between human users and AI-assisted development environments like Cursor, Cline, and Windsurf. It facilitates a critical 'human-in-the-loop' workflow, enabling users to review AI-generated commands, observe their outputs, and provide precise, context-aware textual feedback, including dynamic quick-feedback options. This interaction mechanism aims to enhance AI accuracy, reduce redundant AI requests, and streamline the development process by ensuring the AI's actions align with user intent.
Key Features
- Persistent settings and UI preferences per project
- Seamless integration with MCP-compatible AI assistants
- Dynamic and customizable quick feedback options
- 5 GitHub stars
- Cross-platform compatibility (macOS, Windows, Linux)
- Interactive and responsive UI for feedback collection
Use Cases
- Gathering specific user feedback on AI-generated code or solutions.
- Guiding AI assistants through multi-step development tasks with iterative human review.
- Optimizing AI token usage by consolidating speculative AI calls into single, feedback-driven interactions.
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