Canvas API MCP

MCP server exposing the Canvas LMS REST API (1,116 endpoints) for AI assistants

What does this entry provide?

Canvas API MCP is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 70/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Canvas API MCP to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 70/100
Install method: pypi
Repo: JohannsenLum/canvas-api-mcp
Repo updated: Aug 12, 2026

Install command

uvx canvas-api-mcp==1.1.0

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Aug 12, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-08-12T07:49:14.158621Z",
      "publishedAt": "2026-08-12T07:49:14.158621Z",
      "statusChangedAt": "2026-08-12T07:49:14.158621Z"
    }
  },
  "server": {
    "name": "io.github.JohannsenLum/canvas-api-mcp",
    "title": "Canvas API MCP",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.1.0",
    "packages": [
      {
        "version": "1.1.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "canvas-api-mcp",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "environmentVariables": [
          {
            "name": "CANVAS_BASE_URL",
            "format": "string",
            "isRequired": true,
            "description": "Base URL of your Canvas LMS instance, e.g. https://yourschool.instructure.com"
          },
          {
            "name": "CANVAS_TOKEN",
            "format": "string",
            "isSecret": true,
            "isRequired": true,
            "description": "Canvas API access token (Canvas: Account > Settings > New Access Token)"
          },
          {
            "name": "CANVAS_MAX_PAGES",
            "format": "number",
            "description": "Optional cap on the number of pages fetched per paginated Canvas API call"
          }
        ]
      }
    ],
    "repository": {
      "id": "1326456614",
      "url": "https://github.com/JohannsenLum/canvas-api-mcp",
      "source": "github"
    },
    "description": "MCP server exposing the Canvas LMS REST API (1,116 endpoints) for AI assistants"
  }
}

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