# apprentice-mcp

> apprentice-mcp — nancliu-apprentice-mcp. Use this tool when you need to create adaptive learning experiences that leverage user interactions to reinforce knowledge retention. It solves problems of knowledge solidification and recall by utilizing the apprentice effect and spaced repetition, allowing users to teach AI assistants and strengthen their own understanding. The tool takes in user inputs and outputs personalized learning pathways, making it ideal for use in educational and training contexts.

Canonical page: https://skillsregistry.net/skills/nancliu-apprentice-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nancliu-apprentice-mcp

## Description

Enables AI assistants to act as apprentices that learn from users through the apprentice effect and spaced repetition, helping users solidify knowledge by teaching.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wlprq175gl)
- **Repository:** <https://github.com/nancliu/apprentice-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": "nancliu-apprentice-mcp"
    }
  }
}
```

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