canvas-mcp-server

canvas-mcp-server

Enables AI assistants to automatically pull Canvas LMS course materials into Obsidian, syncing files, assignments, grades, and announcements organized by course and module.

Category
Visit Server

README

Canvas MCP Server

Automatically pull Canvas LMS course materials into Obsidian instead of manually downloading and organizing them.

Why This Exists

Canvas LMS is great for courses, but managing materials requires constant downloads and folder organization. Canvas MCP Server bridges the gap: use an AI assistant to sync course files, assignments, grades, and announcements directly into your Obsidian vault, organized by course and module.

Quick Example

# Your AI assistant runs these MCP tools:
list_courses()                              # → Find course ID
discover_course_files("123")                # → Preview all files/structure
download_course("123", "My Course")         # → Sync everything to Obsidian

# Result: Obsidian vault/Canvas/My Course/Modules/Week 1/lecture.pdf (downloaded)

Status

Dormant — Not actively maintained. Provided as-is for reference.

Available Tools

Discovery: list_courses, discover_course_files, get_course_modules Download: download_file, download_module, download_course, sync_course_files Info: get_course_assignments, get_course_announcements, get_course_grades, get_upcoming_events Jobs: get_job_status, list_jobs (for background operations)

Gotchas

Auth Token Setup

  • Get from Canvas: Account Settings → Approved Integrations → New Access Token
  • Token is required; server won't run without it

Rate Limits

  • Canvas API allows ~3000 requests/hour
  • Use background=True on large downloads to avoid timeout

File Access Issues

  • Server uses 4-strategy fallback (global scope → public URL → course scope → user scope) to work around permission restrictions
  • Students with limited Canvas API access still work in most cases
  • Rare: if all 4 fail, manually download from Canvas web UI

Setup

Configuration

Environment variables or .env file:

CANVAS_BASE_URL=https://your-canvas-instance.edu
CANVAS_API_TOKEN=<your-token>
OBSIDIAN_VAULT_PATH=C:\path\to\your\vault
CANVAS_FOLDER=Canvas  # subfolder in vault (default: Canvas)
PORT=8080

Quick Start

pip install -r requirements.txt
python canvas_server.py

Docker

docker build -t canvas-mcp-server .
docker run -e CANVAS_BASE_URL=... -e CANVAS_API_TOKEN=... \
  -v /path/to/obsidian:/obsidian canvas-mcp-server

Tech Stack

  • Python 3.11, FastMCP, httpx, python-dotenv, Docker

License

See CLAUDE.md for notes.

Screenshots

TODO (Patrik): add screenshots here.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured