Move beyond static prompt-and-response AI. This hands-on workshop introduces M-Connectors—a Model Context Protocol (MCP) integration that connects U-M GPT directly to live campus systems, external APIs, and active data repositories. Discover how to transform GenAI into active agents capable of querying live data, maintaining deep context, and performing authorized tasks across tools like Canvas, Google Workspace, Slack, and Zoom—all within U-M's secure enterprise privacy boundary.
From Passive Prompts to Active Agents: Transforming Campus Workflows with M-Connectors
ITS Instructional Support Workshop
noon–1 p.m.
New Workshop!
Workshop Outline
- The MCP Advantage: How M-Connectors query live campus systems without custom code while preserving U-M enterprise data security.
- Instructor Workflows: Automate Canvas readiness checks, synthesize lecture transcripts into study guides, generate 4-tier rubrics, and draft personalized student reminders based on live gradebook data.
- Administrative Workflows: Extract insights from Google Forms/Sheets, summarize Zoom meetings and Slack threads into action items, and query active Drive folders to draft communications.
- The 15 Launch Connectors: Explore core connector capabilities across U-M GPT and Maizey to build your own custom productivity workflows.
Recommended Prerequisites
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop)
-- OR --
Generative AI Basics (Full Workshop) - Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop)
-- OR --
Generative AI Basics (Full Workshop) - From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop)
-- OR --
Generative AI with U-M GPT (Full Workshop)
Topics
Audience
- Instructors
- Staff
- Students
Level
- Intermediate/Advanced
Trainer(s)
- Angela Marocco