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
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | mcparmory-canvas | 1.0.3 | stdio |
| OCI image (Docker)runtime: docker | ghcr.io/mcparmory/canvas:1.0.3 | — | stdio |
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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