MCP server
Canvas API MCP
io.github.JohannsenLum/canvas-api-mcp
Checked 27 Oct 2026, 08:19 UTC · Still published on its registry; checked against OSV.dev; never run by us
MCP server exposing the Canvas LMS REST API (1,116 endpoints) for AI assistants
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Runs on your computer
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code
- Last checked
- 27 Oct 2026, 08:19 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. It then runs the package on your computer with your permissions. For other apps, copy the setup below.
Claude Code
claude mcp add canvas-api-mcp --env CANVAS_BASE_URL=YOUR_VALUE --env CANVAS_TOKEN=YOUR_VALUE -- uvx canvas-api-mcp@1.1.0
Claude Desktop
{"mcpServers":{"canvas-api-mcp":{"command":"uvx","args":["canvas-api-mcp@1.1.0"],"env":{"CANVAS_BASE_URL":"YOUR_VALUE","CANVAS_TOKEN":"YOUR_VALUE"}}}}
Codex (config.toml)
[mcp_servers.canvas-api-mcp]
command = "uvx"
args = ["canvas-api-mcp@1.1.0"]
env = { CANVAS_BASE_URL = "YOUR_VALUE", CANVAS_TOKEN = "YOUR_VALUE" }
Gemini CLI
{"mcpServers":{"canvas-api-mcp":{"command":"uvx","args":["canvas-api-mcp@1.1.0"],"env":{"CANVAS_BASE_URL":"YOUR_VALUE","CANVAS_TOKEN":"YOUR_VALUE"}}}}
Cursor
{"mcpServers":{"canvas-api-mcp":{"command":"uvx","args":["canvas-api-mcp@1.1.0"],"env":{"CANVAS_BASE_URL":"YOUR_VALUE","CANVAS_TOKEN":"YOUR_VALUE"}}}}
VS Code
{"servers":{"canvas-api-mcp":{"type":"stdio","command":"uvx","args":["canvas-api-mcp@1.1.0"],"env":{"CANVAS_BASE_URL":"YOUR_VALUE","CANVAS_TOKEN":"YOUR_VALUE"}}}}
Runs on your computer with your permissions: check the package and its source before installing. Replace YOUR_VALUE with your own CANVAS_BASE_URL, CANVAS_TOKEN.
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