# canvas-mcp

> Use this tool when you need to manage coursework through natural language, connecting Claude to Canvas LMS for seamless interaction with assignments, discussions, and submissions. It solves problems of manual navigation and streamlines course browsing, allowing for efficient management of academic tasks. Ideal for educational settings, it takes natural language inputs and outputs relevant coursework information.

Canonical page: https://skillsregistry.net/skills/lucanardinocchi-canvas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lucanardinocchi-canvas-mcp

## Description

Connects Claude to Canvas LMS for managing coursework through natural language, including assignments, discussions, submissions, and course browsing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kxfk2fs80r)
- **Repository:** <https://github.com/lucanardinocchi/canvas-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lucanardinocchi-canvas-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucanardinocchi-canvas-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucanardinocchi-canvas-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt