Guides for teachers using the Canvas LMS MCP.
A step-by-step guide for teachers to build a repeatable, end-to-end Canvas grading workflow with an MCP-connected AI agent, from fetching submissions to posting approved grades.
Ask plain-language questions about your Canvas course and get real answers. Use an AI agent over MCP to surface at-risk students, participation gaps, and grade trends from your own data.
Use an AI agent connected to Canvas over MCP to draft, schedule, and send course announcements and reminders across your sections, with a teacher approving every post.
Send targeted, personalized messages to groups of Canvas students straight from Claude using an MCP connection scoped to your own courses. Setup, examples, and guardrails included.
Learn how teachers use an AI agent connected to Canvas over MCP to speed up grading, draft feedback, and post scores, while keeping every decision under your control.