Canvas MCP - College and High School Courses

Canvas MCP - College and High School Courses

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.

Category
Visit Server

README

Canvas MCP

smithery badge

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

gradescope

example

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. Gemini API key from https://aistudio.google.com/app/apikey
  3. Gradescope Email and Password https://www.gradescope.com/

Installing via Smithery (Preferred)

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

Manual Installation (ONLY for local instances)

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

Manual Configuration

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 :)

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured