Canvas MCP

Canvas MCP

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

Category
访问服务器

README

Canvas MCP

Build TypeScript MCP License: MIT

A local MCP (Model Context Protocol) server for Canvas LMS. Query your courses, assignments, grades, modules, and more from any MCP-compatible AI client — Claude Desktop, Cursor, VS Code Copilot, and others.

Your API key stays on your machine. Unlike hosted MCP servers that require you to hand over your Canvas credentials, this server runs locally and communicates directly with your Canvas instance.

Architecture

graph TB
    subgraph "MCP Clients"
        Claude["Claude Desktop"]
        Cursor["Cursor / VS Code"]
        Other["Other MCP Clients"]
    end

    subgraph "Your Machine (Local)"
        Server["Canvas MCP Server<br/>Node.js + TypeScript"]
        ENV["Environment Variables<br/>CANVAS_API_KEY"]
    end

    subgraph "Canvas LMS Tools"
        Courses["list_courses"]
        Assignments["get_assignments<br/>get_upcoming_assignments"]
        Grades["get_grades<br/>get_submission_status"]
        Content["get_modules<br/>get_announcements<br/>get_discussions"]
        Calendar["get_calendar_events<br/>get_todo_items<br/>get_quizzes"]
        Profile["get_user_profile"]
    end

    subgraph "Canvas Instance"
        API["Canvas REST API<br/>HTTPS Only"]
    end

    Claude -->|stdio| Server
    Cursor -->|stdio| Server
    Other -->|stdio| Server

    ENV -.->|read at startup| Server

    Server --> Courses
    Server --> Assignments
    Server --> Grades
    Server --> Content
    Server --> Calendar
    Server --> Profile

    Courses --> API
    Assignments --> API
    Grades --> API
    Content --> API
    Calendar --> API
    Profile --> API

    style Server fill:#4CAF50,stroke:#333,color:#fff
    style ENV fill:#FF9800,stroke:#333,color:#fff
    style API fill:#2196F3,stroke:#333,color:#fff
    style Claude fill:#7C4DFF,stroke:#333,color:#fff
    style Cursor fill:#7C4DFF,stroke:#333,color:#fff
    style Other fill:#7C4DFF,stroke:#333,color:#fff

🔒 Privacy by design — your API key is read from local environment variables and sent only to your Canvas instance over HTTPS. No intermediary servers, no third-party storage.

Features

  • 12 Canvas LMS tools — courses, assignments, grades, modules, quizzes, and more
  • Runs locally — your credentials never leave your machine
  • Zero config hosting — no servers, no Cloudflare, no Docker needed
  • Works with any MCP client — Claude Desktop, Cursor, VS Code Copilot, ChatGPT
  • TypeScript — fully typed with Zod validation

Quick Start

1. Get your Canvas API key

Go to Canvas → Account → Settings → Approved Integrations → New Access Token

📖 Never done this before? Follow the step-by-step guide with screenshots

2. Clone and build

git clone https://github.com/a-ariff/canvas-mcp.git
cd canvas-mcp
npm install
npm run build

3. Add to your MCP client

<details> <summary><b>Claude Desktop</b></summary>

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "canvas": {
      "command": "node",
      "args": ["/path/to/canvas-mcp/dist/standalone.js"],
      "env": {
        "CANVAS_API_KEY": "your-canvas-api-token",
        "CANVAS_BASE_URL": "https://your-canvas-instance.edu"
      }
    }
  }
}

</details>

<details> <summary><b>Cursor / VS Code</b></summary>

Add to your .cursor/mcp.json or VS Code MCP settings:

{
  "mcpServers": {
    "canvas": {
      "command": "node",
      "args": ["/path/to/canvas-mcp/dist/standalone.js"],
      "env": {
        "CANVAS_API_KEY": "your-canvas-api-token",
        "CANVAS_BASE_URL": "https://your-canvas-instance.edu"
      }
    }
  }
}

</details>

4. Start chatting

Ask your AI assistant things like:

  • "What courses am I enrolled in?"
  • "What assignments are due this week?"
  • "Show me my grades for Computer Science 101"
  • "Are there any new announcements?"

Tools

Tool Description Args
list_courses Get all active courses
get_assignments Get assignments for a course course_id
get_upcoming_assignments Upcoming assignments across all courses
get_grades Grades and scores for a course course_id
get_user_profile Your Canvas profile info
get_modules Course modules and structure course_id
get_announcements Recent course announcements course_id
get_discussions Discussion topics course_id
get_calendar_events Upcoming calendar events
get_todo_items Pending action items
get_quizzes Course quizzes course_id
get_submission_status Assignment submission status course_id, assignment_id

Environment Variables

Variable Required Default Description
CANVAS_API_KEY Yes Your Canvas API access token
CANVAS_BASE_URL No https://canvas.instructure.com Your Canvas instance URL
DEBUG No false Enable debug logging

Security

  • Local execution only — the server runs on your machine via stdio
  • Direct API calls — your Canvas API key is sent only to your Canvas instance, never to any third party
  • No data storage — nothing is cached or persisted between sessions
  • Environment-based config — credentials are read from environment variables, never hardcoded

Development

# install deps
npm install

# build
npm run build

# run locally
CANVAS_API_KEY=your-token CANVAS_BASE_URL=https://your-canvas.edu npm start

# run tests
npm test

# lint
npm run lint

Contributing

Contributions welcome! Please see CONTRIBUTING.md for guidelines.

License

MIT

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