# schoology-mcp

> schoology-mcp — coimf-schoology-mcp. Use this tool when you need to integrate your Schoology courses and assignments with Large Language Models (LLMs) to streamline your learning workflow. It solves problems of manual data entry and synchronization by providing a direct interface to fetch upcoming assignments and course materials. The tool takes Schoology course data as input and outputs relevant information for LLMs to process, ideal for use in educational settings where assignment management is crucial.

Canonical page: https://skillsregistry.net/skills/coimf-schoology-mcp  
JSON: https://api.skillsregistry.net/v1/skills/coimf-schoology-mcp

## Description

Provide LLMs with your courses and upcoming assignments from Schoology.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/coimf/schoology-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": "coimf-schoology-mcp"
    }
  }
}
```

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