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🎓 Canvas LMS MCP Server

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MCP Server for Canvas

🎓 Canvas LMS MCP Server

A robust Model Context Protocol (MCP) server that connects Claude AI to your Canvas LMS account — letting you interact with your coursework using natural language.

Built with Python · Canvas REST API · MCP SDK

✨ Features (14 Tools across 4 Modules)

📚 Assignments & Courses

Tool Description
canvas_get_course_list List all active enrolled courses
canvas_get_assignments Get all assignments (all courses or filtered)
canvas_get_upcoming_deadlines Deadlines in the next N days, color-coded by urgency
canvas_get_assignment_details Full details of a specific assignment
canvas_get_submission_status Submitted vs. missing across all courses

📊 Grades

Tool Description
canvas_get_course_grades Current grades with visual progress bars
canvas_get_grade_breakdown Assignment-level breakdown with running total
canvas_get_missing_assignments All unsubmitted assignments

📢 Announcements & Modules

Tool Description
canvas_get_announcements Recent announcements across courses
canvas_get_course_modules Modules with locked/completed status
canvas_get_module_items Items in a module with completion checkboxes

📅 Calendar

Tool Description
canvas_get_calendar_events All events for the next N days
canvas_get_weekly_schedule Week-at-a-glance view
canvas_get_upcoming_events Next N events across all courses

🚀 Setup

1. Clone the repo

git clone https://github.com/yourusername/canvas-mcp.git
cd canvas-mcp

2. Install dependencies

pip install -r requirements.txt

3. Configure your Canvas credentials

cp .env.example .env

Edit .env:

CANVAS_BASE_URL=https://yourschool.instructure.com
CANVAS_API_TOKEN=your_token_here

How to get your Canvas API Token:

  1. Log into Canvas
  2. Go to Account → Settings
  3. Scroll to Approved Integrations
  4. Click New Access Token
  5. Copy the token into your .env

4. Configure Claude Desktop

Add this to your claude_desktop_config.json:

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

{
  "mcpServers": {
    "canvas": {
      "command": "python",
      "args": ["/absolute/path/to/canvas-mcp/server.py"],
      "env": {
        "CANVAS_BASE_URL": "canvas_base_url"
        "CANVAS_API_TOKEN": "your_token_here"
      }
    }
  }
}

5. Restart Claude Desktop

The Canvas tools will now appear in your Claude sidebar!

💬 Example Prompts

Once connected, try asking Claude:

  • "What assignments do I have due this week?"
  • "What's my current GPA estimate?"
  • "Am I missing any assignments?"
  • "What announcements have my professors posted recently?"
  • "Show me my grade breakdown for course 12345"
  • "What does my week look like?"

🗂️ Project Structure

canvas-mcp/
├── server.py           # MCP server entry point (14 tools)
├── canvas_client.py    # Canvas REST API wrapper with pagination
├── tools/
│   ├── assignments.py  # Assignment & course tools
│   ├── grades.py       # Grade tools
│   ├── announcements.py# Announcement & module tools
│   └── calendar.py     # Calendar tools
├── .env.example        # Environment config template
├── requirements.txt
└── README.md

🔒 Privacy & Security

  • Read-only — this server never writes, submits, or modifies your Canvas data

🛠️ Tech Stack

  • Python 3.10+
  • MCP SDK — Model Context Protocol
  • httpx — Async-ready HTTP client
  • python-dotenv — Environment config
  • Canvas LMS REST API

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