Connect Claude, Cursor, Codex & other AI assistants to Canvas LMS with your normal login — no access token needed. Read-only MCP server.
View on GitHub ↗Homepage ↗Connect Claude, Cursor, Codex and other AI assistants to Canvas LMS — no access token needed. 不用 Access Token，一条命令让 Claude / Cursor / Codex 等 AI 读你的 Canvas。
Most Canvas integrations ask you to create a personal access token, and many universities no longer let students do that. This MCP server does what the Canvas website itself does: it uses your normal login. Sign in once in a real Chrome/Edge window (SSO and MFA as usual), and your AI assistant can read your courses.
- No token, no admin approval. If you can open Canvas in a browser, this works. - Read-only. It only ever sends GET requests: it cannot submit, post or change anything. - Local. Your login and files stay on your computer. Nothing goes anywhere except your school's Canvas. - Reads and saves course files. Slides, assignment PDFs and Word documents come back as text, and whole courses can be saved into a folder you choose.
You need Node.js 20+ and Chrome or Edge. Then run:
Setup asks for three things, then does the rest:
1. Your Canvas address, e.g. https://canvas.lms.unimelb.edu.au. 2. Where to save course files. The default is Documents/Canvas; any folder works. 3. Sign in in the browser window that opens. It closes by itself.
It then finds the AI apps on your computer — Claude Desktop, Claude Code, Cursor, Windsurf, Codex — and asks before connecting each one. Existing settings are kept, and a backup of every file it changes is saved next to it (.before-canvas-mcp.bak). Restart the app and ask: "What's due this week on Canvas?"
From the project README.
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