mcp-feedback-enhanced
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.
mcp-feedback-enhanced is an MCP server that enables interactive user feedback and human-in-the-loop checkpoints during AI-assisted development tasks. It offers both a web UI and cross-platform desktop application (built with Tauri) for collecting user input, managing prompts, and controlling auto-submit workflows. The server intelligently detects environments like SSH Remote and WSL, automatically launching the appropriate interface. Developers use it to prevent AI drift in long-running tasks by inserting confirmation points where the AI must wait for human approval or guidance before proceeding.
Key Features
Use Cases
- 01Inserting human checkpoints in long-running AI coding tasks to review changes before execution
- 02Collecting structured user feedback during AI-driven refactoring or feature implementation
- 03Managing reusable prompt templates for common approval workflows in development
- 04Remote development scenarios using SSH port forwarding to access the feedback interface securely
- 05WSL environments where a lightweight web UI is preferred over GUI dependencies
- 06Cross-platform desktop workflows requiring native application experience for feedback collection
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mcp-feedback-enhanced — FAQ
What is mcp-feedback-enhanced?+
mcp-feedback-enhanced is an MCP server that provides interactive user feedback capabilities for AI assistants, allowing developers to insert human approval checkpoints into AI-driven workflows. It offers both a web-based interface and a native desktop application.
How do I install mcp-feedback-enhanced?+
Install uv (pip install uv), then add the server configuration to your MCP client's settings JSON with the command 'uvx' and args 'mcp-feedback-enhanced@latest'. Set MCP_DESKTOP_MODE to true for desktop app mode or leave it false for web UI.
Which AI clients support mcp-feedback-enhanced?+
The server works with Cursor, Cline, Windsurf, Augment, and Trae. Any MCP-compatible client should support it.
Do I need API keys or special prerequisites?+
No API keys are required. You only need Python with uv installed (pip install uv) and an MCP-compatible client. For desktop mode, the Tauri-based application is automatically downloaded when MCP_DESKTOP_MODE is enabled.
Is mcp-feedback-enhanced free to use?+
Yes, it is open source under the MIT License and completely free to use.
How do I use it in SSH Remote or WSL environments?+
For SSH Remote, use the default configuration (127.0.0.1) and set up SSH port forwarding on port 8765, then access via http://localhost:8765 in your local browser. The server automatically detects WSL and remote environments.
How do I install mcp-feedback-enhanced?+
Open the source repository on GitHub and follow its README. mcp-feedback-enhanced is a mcp server — MCP Agents Market links you directly to the official repo.
Is mcp-feedback-enhanced free?+
mcp-feedback-enhanced is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.