# AI Answer Copier

> Use this tool when you need to streamline educational content creation by automating the formatting of AI-generated questions and assessments into various teaching and learning formats. It solves the problem of manual formatting and data entry, saving hours of time by directly exporting AI output into specialized formats such as CSV, JSON, XML, and PDF. The AI Answer Copier takes AI-generated text as input and produces upload-ready files for popular learning management systems like Kahoot, Quizizz, Canvas, and Moodle.

Canonical page: https://skillsregistry.net/skills/xjtlumedia-x23  
JSON: https://api.skillsregistry.net/v1/skills/xjtlumedia-x23

## Description

AI Answer Copier is a Model Context Protocol (MCP) server that solves the "Final Mile" friction in educational content creation. It enables AI models to move beyond just writing questions to actually generating the files required for teaching and assessment.

By functioning as a native MCP server, this tool allows Claude or any MCP-enabled IDE to directly pipe its output into specialized educational formats. No more manually fixing bullet points in Word or wrestling with CSV headers for your LMS.

Key Capabilities:Zero-Friction Pipeline: Your AI can now "see" your local export tools. Ask it to: "Generate 10 biology questions and send them directly to my Quizizz CSV."

Multi-Format Exporting: Seamlessly convert AI responses into upload-ready files for Kahoot, Quizizz, Canvas (JSON), Moodle (XML), and professionally formatted PDFs.

Intelligent Smart-Parse: Automatically identifies question stems, multiple-choice distractors, and correct answer keys from raw AI text.

First-Class Math & Code: Native support for LaTeX equations ($\sqrt{x}$) and indented code snippets (Python/C++), ensuring they don't break during the export

Why use this MCP server? Generating questions takes seconds, but formatting them takes hours. This server reclaims those 5 hours of your week by removing the technical barrier between AI intelligence and classroom delivery.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-18

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/XJTLUmedia/x23)

## 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": "xjtlumedia-x23"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xjtlumedia-x23` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xjtlumedia-x23/pull`

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