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MCP server for Canvas API

Project description

Canvas API MCP Server

Base URL: https://canvas.instructure.com/api


Install

Quick Start (recommended)

BEARER_TOKEN=YOUR_BEARER_TOKEN \
uvx mcparmory-canvas

With pip

pip install mcparmory-canvas
BEARER_TOKEN=YOUR_BEARER_TOKEN \
mcparmory-canvas

MCP Client Configuration

Add to your MCP client config (e.g. Claude Desktop, Cursor, Codex):

{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": ["mcparmory-canvas"],
      "env": {
        "BEARER_TOKEN": "YOUR_BEARER_TOKEN"
      }
    }
  }
}

Credentials

Set the following environment variables (via MCP client env config, shell export, or .env file):

  • BEARER_TOKEN — Bearer token Do not commit credentials to version control.

Run Locally

First, configure your credentials in .env (see Credentials above).

pip install -r requirements.txt
python server.py

Connect MCP Client

Edit .mcp.json and replace <SERVER_DIR> with the absolute path to this directory, then add to your MCP client configuration.

Example (if server is at /home/user/mcp-servers/canvas):

{
  "mcpServers": {
    "canvas": {
      "command": "python",
      "args": ["/home/user/mcp-servers/canvas/server.py"]
    }
  }
}

Docker

First, configure your credentials in .env (see Credentials above).

docker build -t canvas .
docker run -p 8000:8000 --env-file .env canvas

Before running, make sure ports 8000 are free.For Docker, use SSE transport in your MCP client config:

{
  "mcpServers": {
    "canvas": {
      "type": "sse",
      "url": "http://localhost:8000/sse"
    }
  }
}

Files

  • .env - Credentials and server configuration
  • .mcp.json - MCP client config template
  • Dockerfile - Container build
  • LICENSE - MIT license for this generated code
  • requirements.txt - Python dependencies
  • README.md - This file
  • server.py - MCP server entry point
  • _auth.py - Authentication handlers
  • _models.py - Request/response models
  • _validators.py - Input validation

Note: Files starting with . are hidden by default on macOS/Linux. Use ls -a in terminal or enable "Show hidden files" in your file manager to see .env and .mcp.json.


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