AI tutor with per-cohort access control and LMS integration
An online university deployed an AI tutor that cites course PDFs, syllabi, and LMS gradebook data via Claude MCP while enforcing student privacy and per-cohort access controls. MCPner.com's text ingestion and database connectors eliminated months of custom development.
The Problem
They had over 4,000 course files (PDFs, DOCX) and MySQL gradebook records, but no standardized way to expose them to AI agents. Privacy regulations required per-cohort access controls, ensuring students only accessed materials for their enrolled courses. Manual setup for each new cohort took weeks.
How MCPFlow Solved It
MCPner.com ingested their entire course file library with automatic metadata tagging and chunking. The MySQL gradebook was connected through secure, parameterized queries. Per-cohort security tokens were issued with quota enforcement, allowing different tutor 'personalities' for intro vs. advanced courses. Faculty gained real-time dashboards showing which materials students queried most.
MCP Stack Used:
Measurable Outcomes
Student satisfaction scores increased 22% as the AI tutor provided instant, accurate answers with proper citations to course materials. Faculty avoided building custom infrastructure while gaining analytics on learning patterns. IT deployed the tutor to 12 new cohorts with a single click, down from weeks of manual configuration.
Key Metrics:
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