Canvas MCP

Canvas MCP is a set of tools that allows your AI agents to interact with Canvas LMS and Gradescope.

Features

• Find relevant resources - Ability to find relevant resources for a given query in natural language!
• Query upcoming assignments - Not only fetch upcoming assignments, but also provide its breakdown for a given course.
• Get courses and assignments from Gradescope - Query your Gradescope courses and assignments with natural language, get submission status, and more!
• Get courses
• Get modules
• Get module items
• Get file url
• Get calendar events
• Get assignments
• and so much more...

Usage

Note down the following beforehand:

1. Canvas API Key from `Canvas > Account > Settings > Approved Integrations > New Access Token`

2. Gradescope Email and Password https://www.gradescope.com/

Installing via Smithery (Preferred)

To install Canvas MCP for Claude Code via Smithery:

npx -y @smithery/cli@latest mcp add aryankeluskar/canvas-mcp --client claude-code

Or, for Cursor IDE to use canvas-mcp with other models:

npx -y @smithery/cli install aryankeluskar/canvas-mcp --client cursor

Or, for ChatGPT:

1) Enable Developer Mode in settings, if not already enabled

2) Go to `ChatGPT Settings > Connectors` and click Create to add this server URL: `https://canvas-mcp--aryankeluskar.run.tools`

Manual Configuration (ONLY for local instances)

Create a `.env` file in the root directory with the following environment variables:

SNITHERY_API_KEY=your_snithery_api_key

Add the following to your `mcp.json` or `claude_desktop_config.json` file:

{
  "mcpServers": {
      "canvas": {
          "command": "npx",
          "args": [
              "-y",
              "@smithery/cli",
              "run",
              "@aryankeluskar/canvas-mcp"
          ]
      }
  }
}

Built by Aryan Keluskar :)