Enables AI assistants to query and analyze project feedback and bug reports from FeedbackBasket.com.
Sponsored
This Model Context Protocol (MCP) server acts as a crucial bridge, allowing AI assistants to seamlessly access and understand your customer feedback and bug reports hosted on FeedbackBasket.com. It provides structured access to project details, feedback entries, and bug reports, complete with filtering, searching, and statistical capabilities. This integration empowers AI to summarize insights, track issues, and respond to user inquiries based on real-time feedback data, enhancing developer and product team workflows.
Key Features
010 GitHub stars
02Retrieve feedback with filtering by category, status, and sentiment
03List FeedbackBasket projects with summary statistics
04Secure authentication using API keys with project-level access control
05Search across all feedback content using text queries
06Specifically fetch bug reports with severity classification
Use Cases
01Enable AI to search for specific feedback, like 'login error', across projects for detailed analysis.
02Allow AI assistants to query a summary of all FeedbackBasket projects.
03Retrieve high-severity bug reports that are still pending for quick triage.
