UnivMCP
Under construction
University × AI Infrastructure

The learning layer for university AI.

University knowledge already exists.

The missing layer is the infrastructure that lets AI understand and use it continuously.
01 — PREMISE

Universities built systems to store and distribute knowledge.
The next generation needs systems that make that knowledge usable by intelligence.

02 — SYSTEM

From LMS
to AI context.

UnivMCP is building an open infrastructure layer between university learning systems and AI applications. Authentication stays close to the user. Academic resources become persistent, structured context that can move across intelligent tools.

01
University Systems
Course materials, announcements, assignments, schedules, and other learning resources already living inside LMS platforms.
02
Local Connectivity
A local layer authenticates against university systems and observes only the resources available to that user.
03
Persistent Academic State
Academic context can remain synchronized instead of being manually downloaded, uploaded, and reconstructed for every AI session.
04
AI Applications
Agents, assistants, and future AI systems can access authorized academic resources through open interfaces.
03 — DIRECTION

Not another LMS.

Not another chatbot.

Infrastructure between them.

04 — WHY

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.

05 — STATUS

We are building it now.

STATUS / EARLY DEVELOPMENT
SPECIFICATION / IN PROGRESS
REFERENCE IMPLEMENTATION / IN PROGRESS
UNIVMCP.COM / 2026