Canvas Gradescope Integration
STDIOTools for AI agents to interact with Canvas LMS and Gradescope.
Tools for AI agents to interact with Canvas LMS and Gradescope.
Canvas MCP is a set of tools that allows your AI agents to interact with Canvas LMS and Gradescope.
Note down the following beforehand:
Canvas > Account > Settings > Approved Integrations > New Access Token
To install Canvas MCP for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @aryankeluskar/canvas-mcp --client claude
Or, for Cursor IDE to use canvas-mcp with other models:
npx -y @smithery/cli install @aryankeluskar/canvas-mcp --client cursor
Or, for Windsurf:
npx -y @smithery/cli install @aryankeluskar/canvas-mcp --client windsurf
Download the repository and run the following commands:
git clone https://github.com/aryankeluskar/canvas-mcp.git cd canvas-mcp # Install dependencies with uv (recommended) pip install uv uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -r requirements.txt # Or install with pip pip install -r requirements.txt
Create a .env
file in the root directory with the following environment variables:
CANVAS_API_KEY=your_canvas_api_key
GEMINI_API_KEY=your_gemini_api_key
Add the following to your mcp.json
or claude_desktop_config.json
file:
{ "mcpServers": { "canvas": { "command": "uv", "args": [ "--directory", "/Users/aryank/Developer/canvas-mcp", "run", "canvas.py" ] } } }
Built by Aryan Keluskar :)