Canvas MCP

Canvas MCP

MCP server for Canvas LMS that exposes courses, assignments, modules, pages, files, grades, and submissions as tools for AI agents.

Category
访问服务器

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 Link headers automatically (up to 10 pages)
  • Graceful 403 handlinglist_files returns 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 tests
  • test_server.py — tool functions, HTML stripping, slimming helpers
  • test_integration.py — full pipeline: tool → client → mock HTTP → structured response

License

MIT

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