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Lets AI agents request terminal-based user feedback during task execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Feedback Server" yet — see the docs or source repo.
Before running the database migration, use the Feedback Server to show me a summary of changes, potential risks, and the rollback plan, then wait for my confirmation before continuing.
The AI sends an interactive confirmation request, shows key details, and continues, pauses, or adjusts based on the user's feedback.
Draft a product requirements document for me, but before writing detailed features, use the Feedback Server to ask whether I prefer an MVP approach or a full version, then continue based on my choice.
The AI proactively asks for user preferences during execution and incorporates the response into subsequent content generation and decisions.
Analyze this log directory and identify anomalies; if the environment, time range, or target service is unclear, use the Feedback Server to ask me instead of making assumptions.
When information is missing or ambiguous, the AI asks follow-up questions and then continues the analysis with more reliable results.
Create feedback-driven AI workflows with user confirmation to reduce risky actions.
Provides Web UI feedback loops for AI-user confirmations.
Collect interactive user feedback with text and image support through a modern GUI.
Add interactive confirmations and feedback to AI workflows to reduce speculative tool calls.
Build feedback-driven workflows that confirm with users and reduce tool-call costs.
Collect interactive user feedback for AI-assisted development via web and desktop apps.