Canvas LMS MCP Server

Canvas LMS MCP Server

Enables Claude to interact with Canvas LMS to manage coursework, track assignments, and view grades through natural language. It supports comprehensive academic tasks including checking rubrics, participating in discussion boards, and submitting assignments.

Category
Visit Server

README

Canvas LMS MCP Server for Claude

An MCP (Model Context Protocol) server that connects Claude to Canvas LMS, letting you manage your coursework through natural conversation.

Ask Claude things like:

  • "What assignments do I have due this week?"
  • "Show me the rubric for my essay assignment"
  • "What did my professor say in the feedback?"
  • "List all my courses"
  • "Are there any overdue assignments?"

Quick Start

1. Get Your Canvas API Token

  1. Log in to Canvas
  2. Click your profile picture → Settings
  3. Scroll to Approved Integrations
  4. Click + New Access Token
  5. Name it (e.g., "Claude") and click Generate Token
  6. Copy the token - you won't see it again!

2. Install the MCP Server

# Clone this repository
git clone https://github.com/lucanardinocchi/canvas-mcp.git
cd canvas-mcp

# Install dependencies
npm install

# Build the project
npm run build

3. Configure Claude Desktop

Open Claude Desktop's config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add (or merge) this configuration:

{
  "mcpServers": {
    "canvas": {
      "command": "node",
      "args": ["/FULL/PATH/TO/canvas-mcp/dist/index.js"],
      "env": {
        "CANVAS_API_TOKEN": "YOUR_TOKEN_HERE",
        "CANVAS_BASE_URL": "https://your-school.instructure.com"
      }
    }
  }
}

Replace:

  • /FULL/PATH/TO/canvas-mcp with the actual path where you cloned this repo
  • YOUR_TOKEN_HERE with your Canvas API token
  • https://your-school.instructure.com with your Canvas URL

Common Canvas URLs:

University Canvas URL
University of Sydney https://canvas.sydney.edu.au
Generic Instructure https://canvas.instructure.com
Your school Check your browser when logged into Canvas

4. Restart Claude Desktop

Quit Claude Desktop completely (Cmd+Q / Alt+F4) and reopen it.

You should now see Canvas tools available in Claude!


What Can It Do?

šŸ“š Courses

  • List all your enrolled courses
  • Get course details and syllabi

šŸ“ Assignments

  • List assignments (filter by upcoming, overdue, etc.)
  • View full assignment details and instructions
  • See rubrics and grading criteria
  • Check your grades and submission status

šŸ’¬ Discussions

  • View discussion boards
  • Post new discussion entries
  • Reply to classmates

šŸ“¤ Submissions

  • Submit text assignments directly
  • Upload files for submission
  • View instructor feedback and comments

šŸ” Search

  • Find assignments by due date
  • Search course content
  • Get all upcoming work across all courses

All Available Tools

Tool What it does
list_courses List your enrolled courses
get_course Get details about a specific course
list_assignments List assignments (with filters)
get_assignment Get full assignment details + rubric
get_rubric Get grading rubric for an assignment
get_submission View your submission and feedback
submit_assignment Submit text or URL to an assignment
upload_file Upload a file for submission
list_modules Browse course modules
list_announcements Get course announcements
list_discussions View discussion topics
get_discussion_entries Read discussion posts
post_discussion_entry Post to a discussion
reply_to_discussion Reply to a discussion post
find_assignments_by_due_date Find assignments in a date range
get_upcoming_assignments Get work due in the next N days
get_overdue_assignments Find past-due work
search_course_content Search modules and assignments
get_all_upcoming_work Upcoming work across ALL courses

Troubleshooting

"Canvas tools not showing up"

  1. Make sure you restarted Claude Desktop completely
  2. Check that the path in your config is correct
  3. Verify your claude_desktop_config.json is valid JSON

"401 Unauthorized" errors

Your API token is invalid or expired. Generate a new one in Canvas settings.

"403 Forbidden" errors

You don't have access to that resource. The course may have ended, or you're not enrolled.

"Connection refused" or network errors

Check that your CANVAS_BASE_URL is correct (no trailing slash).


Security Notes

āš ļø Keep your API token secret!

  • Never commit your token to git
  • Don't share your token with others
  • Set an expiration date when creating tokens
  • Revoke tokens you no longer use (Canvas Settings → Approved Integrations)

Your API token has the same access as your Canvas account - anyone with it can view your grades, submit assignments, etc.


Development

# Install dependencies
npm install

# Build once
npm run build

# Watch mode (auto-rebuild on changes)
npm run dev

Project Structure

canvas-mcp/
ā”œā”€ā”€ src/
│   ā”œā”€ā”€ index.ts           # MCP server entry point
│   ā”œā”€ā”€ canvas-client.ts   # Canvas API wrapper
│   ā”œā”€ā”€ tools/             # Tool implementations
│   │   ā”œā”€ā”€ courses.ts
│   │   ā”œā”€ā”€ assignments.ts
│   │   ā”œā”€ā”€ submissions.ts
│   │   ā”œā”€ā”€ discussions.ts
│   │   ā”œā”€ā”€ modules.ts
│   │   └── search.ts
│   └── types/
│       └── canvas.ts      # TypeScript types
ā”œā”€ā”€ dist/                  # Compiled output
ā”œā”€ā”€ package.json
└── tsconfig.json

Contributing

Contributions welcome! Feel free to:

  • Report bugs
  • Suggest new features
  • Submit pull requests

License

MIT - Use it however you want!


Acknowledgments

Built with:

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