Canvas MCP
MCP server for Canvas LMS that exposes courses, assignments, modules, pages, files, grades, and submissions as tools for AI agents.
README
Canvas MCP
MCP (Model Context Protocol) server for Canvas LMS. Exposes Canvas courses, assignments, modules, pages, files, grades, and submissions as tools for AI agents.
Tools
| Tool | Description |
|---|---|
list_courses |
List all active courses |
get_course |
Course details, optionally with syllabus |
list_modules |
Modules with items (pages, files, assignments) |
list_assignments |
All assignments with due dates and points |
get_assignment |
Full assignment with description + rubric |
submit_url |
Submit a URL to an assignment |
submit_text |
Submit text to an assignment |
list_pages |
List course pages |
get_page |
Get page content as plain text |
get_file |
File metadata and download URL |
list_files |
List all files (may 403 on some instances) |
list_announcements |
Course announcements |
list_discussions |
Discussion topics |
list_groups |
Groups in a course |
list_group_members |
Members of a group |
my_grades |
Your graded submissions with rubric feedback |
get_submission |
Your submission for a specific assignment |
upcoming_events |
Upcoming calendar events |
todo_items |
Canvas TODO items |
whoami |
Authenticated user profile |
Resources
| URI | Description |
|---|---|
canvas://courses |
All active courses as JSON |
canvas://todo |
Current TODO items as JSON |
Setup
Environment Variables
export CANVAS_API_TOKEN="your-canvas-token"
export CANVAS_BASE_URL="https://your-institution.instructure.com"
Generate a token at: <your-canvas-url>/profile/settings → + New Access Token
Install
pip install -e .
Run
canvas-mcp # stdio transport (for MCP clients)
Add to Hermes config.yaml
mcp_servers:
canvas:
command: canvas-mcp
env:
CANVAS_API_TOKEN: "your-token"
CANVAS_BASE_URL: "https://psu.instructure.com"
Add to Claude Desktop
{
"mcpServers": {
"canvas": {
"command": "canvas-mcp",
"env": {
"CANVAS_API_TOKEN": "your-token",
"CANVAS_BASE_URL": "https://psu.instructure.com"
}
}
}
}
Design Decisions
- No stdout output from tools — tools return structured dicts/lists only, safe for coding agents
- HTML is stripped — all Canvas HTML content is converted to readable plain text
- Responses are slimmed — only relevant fields returned, no noise
- Pagination handled — follows Canvas
Linkheaders automatically (up to 10 pages) - Graceful 403 handling —
list_filesreturns an error dict with a hint instead of crashing - Client cleanup — every tool call opens and closes its own client connection
Testing
pip install pytest pytest-asyncio
pytest -v
Tests use a MockTransport that intercepts HTTP at the httpx layer — no real Canvas calls.
Three test files:
test_client.py— Canvas API client unit teststest_server.py— tool functions, HTML stripping, slimming helperstest_integration.py— full pipeline: tool → client → mock HTTP → structured response
License
MIT
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