Data · Local MCP server

Canvas

Manage courses, submissions, grades, and student data in Canvas LMS.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
com.mcparmory/canvas
Version
1.0.3
Status
Active
Category
data
Transport
stdio (local process)
Package
PyPI, OCI image (Docker)
Published
2026-05-11
Updated
2026-05-11
Publisher
com.mcparmory · 76 servers with pages here
Repository
github.com/mcparmory/registry
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxmcparmory-canvas1.0.3stdioNone declared
OCI image (Docker)runtime: dockerghcr.io/mcparmory/canvas:1.0.3—stdioNone declared

How to connect Canvas

Canvas runs locally from a Python package published to PyPI: mcparmory-canvas version 1.0.3. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx mcparmory-canvas.

Canvas runs locally from a container image in an OCI registry such as Docker Hub or GitHub Container Registry: ghcr.io/mcparmory/canvas:1.0.3. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Docker or another OCI container runtime; started with docker run — the usual command is docker run -i --rm ghcr.io/mcparmory/canvas:1.0.3.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

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

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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