Canvas API MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 220 installs a week from pypi. Last commit 15 Aug 2026.
MCP server exposing the Canvas LMS REST API (1,116 endpoints) for AI assistants
Today is the operative word: we check Canvas API MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add canvas-api-mcp -- uvx canvas-api-mcp
{
"mcpServers": {
"canvas-api-mcp": {
"args": [
"canvas-api-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.canvas-api-mcp]
command = "uvx"
args = ["canvas-api-mcp"]
{
"mcpServers": {
"canvas-api-mcp": {
"args": [
"canvas-api-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"canvas-api-mcp": {
"args": [
"canvas-api-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
CANVAS_BASE_URL (Base URL of your Canvas LMS instance, e.g. https://yourschool.instructure.com), CANVAS_TOKEN (Canvas API access token (Canvas: Account > Settings > New Access Token)), CANVAS_MAX_PAGES (Optional cap on the number of pages fetched per paginated Canvas API call).
The author declared them in the registry entry; get the values from the project itself.
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