The learning layer for university AI.
We’re building a connection between your university LMS and the AI tools you use—so course materials stay available without downloading and uploading them for every conversation.
Explore the architectureIn development · Starting with Chung-Ang University e-Class on macOS
Your next conversation
should start with your course.
Today, you carry the context.
Find the material in your LMS. Download it. Upload it to AI. Explain which course it belongs to. Repeat when something changes.
We’re building a connection that carries it.
Connect your university account. Keep course materials synchronized. Let a connected AI tool retrieve the context when you need it.
From LMS
to AI context.
The planned system connects your university account locally, synchronizes course materials to UnivMCP Cloud, and makes them available to connected AI applications. Your university credentials stay on your device.
Your courses.
Context that carries forward.
A foundation for university AI.
One connection.
A new class of university software.
When academic systems become continuously accessible to AI,
the opportunity extends far beyond file retrieval.
Course-aware assistants, adaptive learning support,
cross-course reasoning, academic automation,
learning analytics, and entirely new interfaces become possible.
UnivMCP is being built as the connective layer beneath them.
We are building it now.
Built from everyday use.
The project grew from a CAU e-Class MCP tool the maintainer uses with Codex. That early prototype informs this work; UnivMCP is developing a broader local collector, cloud sync, and remote retrieval architecture.