# imscc-mcp

> imscc-mcp — inquiryinstitute-imscc-mcp. Use this tool when you need to create Canvas Common Cartridge (.imscc) packages from structured course data, enabling programmatic building of course content for import into compatible Learning Management Systems. It solves problems of manual course content creation and integration with LMS platforms, accepting structured course data as input and producing .imscc packages as output. Ideal for use in educational institutions and e-learning platforms requiring automated course content generation.

Canonical page: https://skillsregistry.net/skills/inquiryinstitute-imscc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/inquiryinstitute-imscc-mcp

## Description

An MCP server that enables the creation of Canvas Common Cartridge (.imscc) packages from structured course data using the canvas_cc Ruby gem. It allows users to programmatically build course content including modules, assignments, and rubrics for import into compatible Learning Management Systems.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zn6uv2h7r9)
- **Repository:** <https://github.com/CastaliaInstitute/imscc_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": "inquiryinstitute-imscc-mcp"
    }
  }
}
```

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