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Create feedback-driven AI workflows with user confirmation to reduce risky actions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-feedback-enhanced" yet — see the docs or source repo.
Use mcp-feedback-enhanced to set up a development workflow where the AI asks for confirmation before editing code, running commands, or creating files, and shows real-time progress for each step.
A development workflow with user confirmation and live progress feedback before key actions.
Use mcp-feedback-enhanced so the AI explains its refactoring plan, waits for my feedback, and only then proceeds to the next step.
A staged refactoring workflow that explains actions, collects feedback, and reduces unnecessary changes.
Create a task review workflow with mcp-feedback-enhanced so I can inspect AI proposals, respond with feedback, and continue actions from either the Web UI or desktop app.
A cross-interface task workflow supporting feedback and progress across Web and desktop apps.
Build feedback-driven workflows that confirm with users and reduce tool-call costs.
Add interactive confirmations and feedback to AI workflows to reduce speculative tool calls.
Lets AI agents request terminal-based user feedback during task execution.
Collect interactive user feedback for AI-assisted development via web and desktop apps.
Collect interactive user feedback before AI takes actions in development workflows.
Aggregate multiple MCP servers into a few fixed tools for AI apps.