Collection of Canvas LMS and Gradescope tools for the model context protocol. Query your courses, find resources, and chat with your upcoming assignments.
Documentation
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-codeOr, for Cursor IDE to use canvas-mcp with other models:
npx -y @smithery/cli install aryankeluskar/canvas-mcp --client cursorOr, 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_keyAdd 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 :)
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