Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
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# MCP Feedback Enhanced **🌐 Language / 語言切換:** **English** | [繁體中文](README.zh-TW.md) | [简体中文](README.zh-CN.md) **Original Author:** [Fábio Ferreira](https://x.com/fabiomlferreira) | [Original Project](https://github.com/noopstudios/interactive-feedback-mcp) ⭐ **Enhanced Fork:** [Minidoracat](https://github.com/Minidoracat) **UI Design Reference:** [sanshao85/mcp-feedback-collector](https://github.com/sanshao85/mcp-feedback-collector) ## 🎯 Core Concept This is an [MCP server](https://modelcontextprotocol.io/) that establishes **feedback-oriented development workflows**, providing **Web UI and Desktop Application** dual interface options, perfectly adapting to local, **SSH Remote environments**, and **WSL (Windows Subsystem for Linux) environments**. By guiding AI to confirm with users rather than making speculative operations, it can consolidate multiple tool calls into a single feedback-oriented request, dramatically reducing platform costs and improving development efficiency. **🌐 Dual Interface Architecture Advantages:** - 🖥️ **Desktop Application**: Native cross-platform desktop experience, supporting Windows, macOS, Linux - 🌐 **Web UI**: No GUI dependencies required, suitable for remote and WSL environments - 🔧 **Flexible Deployment**: Choose the most suitable interface mode based on environment requirements - 📦 **Unified Functionality**: Both interfaces provide exactly the same functional experience **🖥️ Desktop Application:** v2.5.0 introduces cross-platform desktop application support based on Tauri framework, supporting Windows, macOS, and Linux platforms with native desktop experience. **Supported Platforms:** [Cursor](https://www.cursor.com) | [Cline](https://cline.bot) | [Windsurf](https://windsurf.com) | [Augment](https://www.augmentcode.com) | [Trae](https://www.trae.ai) ### 🔄 Workflow 1. **AI Call** → `mcp-feedback-enhanced` tool 2. **Interface Launch** → Auto-open desktop application or browser interface (based on configuration) 3. *…
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