$ loading_
Collect, search, and analyze in-app user feedback through one API endpoint.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Feedback MCP" yet — see the docs or source repo.
Please search user feedback related to the “report export” feature and summarize the most common negative issues.
A list of relevant feedback items plus a theme-based summary of the main complaints or issues.
Count the user feedback received in the last 30 days and provide an overview for product review.
A total feedback count and a brief statistical overview to understand recent feedback trends.
List the latest user feedback in time order so I can review it quickly.
A time-sorted list of the newest feedback entries for quick review.
Product managers or developers can centralize user feedback from an app through a single API endpoint instead of checking multiple systems. They can then list, search, and review basic feedback statistics.
When a team wants to know whether a feature is triggering repeated complaints, they can search related feedback and quickly identify recurring issues. This helps uncover UX problems and prioritize improvements.
Data analysts or product teams can use the stats capability to review changes in feedback volume for periodic analysis. It is useful for understanding the overall voice of users over time.
It is used to collect in-app user feedback through a single API endpoint and provides MCP tools for listing, searching, and viewing statistics.
Based on the provided description, it supports collecting feedback, listing feedback items, searching them, and viewing statistics. For detailed fields, filters, or analysis options, see the source repository.
The available material only says it works through a single API endpoint and does not provide installation steps, runtime requirements, or key requirements. See the source repository for prerequisites.
Collect interactive user feedback with text and image support through a modern GUI.
Improve feedback-driven development with confirmations, session tracking, and prompt management.
Access TestFlight beta feedback and crash artifacts from App Store Connect.
Retrieve TestFlight beta feedback, crash logs, and related App Store Connect data.
Collect interactive user feedback for AI-assisted development via web and desktop apps.
Add interactive confirmations and feedback to AI workflows to reduce speculative tool calls.