# educator-toolkit-mcp

> educator-toolkit-mcp — tyrobbins-educator-toolkit-mcp. Use this tool when you need to review, critique, and improve learning artifacts, such as lessons and curricula, using AI-powered educator tools. It solves problems related to content accuracy, learner experience, and assessment effectiveness, providing outputs in the form of actionable feedback and improvement suggestions. Deployable via HTTPS, local stdio, or Python kernel, it accepts learning artifacts as inputs and generates insightful critiques to enhance educational quality.

Canonical page: https://skillsregistry.net/skills/tyrobbins-educator-toolkit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tyrobbins-educator-toolkit-mcp

## Description

An MCP toolkit exposing six AI-powered educator-craft tools for reviewing, critiquing, and improving learning artifacts like lessons, curricula, AI tools, learner experiences, assessments, and content accuracy. Deployable via hosted HTTPS, local stdio MCP, or an importable Python kernel.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l2n7pfccgx)
- **Repository:** <https://github.com/TyRobbins/educator-toolkit-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": "tyrobbins-educator-toolkit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tyrobbins-educator-toolkit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tyrobbins-educator-toolkit-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