What can you do with this server?

AI Answer Copier is an MCP server that converts Markdown into 23+ professional document formats, analyzes documents, repairs broken Markdown, and converts content for various platforms — all from within your AI chat. Document Conversion: * Plain Text – strip all formatting * HTML – full styled document with GFM tables and KaTeX math * Self-contained HTML string – inlined styles, no file I/O * Email-optimized HTML – compatible with Outlook, Gmail, and Apple Mail * PDF – via headless Chromium with KaTeX and syntax highlighting * DOCX – styled headings, lists, and code blocks * LaTeX – with native math pass-through * RTF – for legacy word processors * CSV – extracted tables * JSON – structured representation * XML – well-formed output * XLSX – one sheet per table * PNG – rendered via headless Chromium * Markdown – export or harmonize to file Platform Converters: Slack (mrkdwn), Discord, JIRA, Confluence, AsciiDoc, reStructuredText, MediaWiki, BBCode, Textile, Emacs Org Mode Import: Convert HTML (documents or fragments) back to Markdown Repair & Lint: * Repair broken Markdown – unclosed fences, broken tables, stray markers, broken links * Lint Markdown – JSON report with line numbers, severity, rule names, and fixable flags Document Analysis: * Extract code blocks, links, and images with metadata * Generate a Table of Contents with configurable depth * Get document statistics: word/line/character counts, reading time, element counts * View structural overview: heading outline, code block and link summaries Harmonization: Normalize Markdown syntax (ATX headers, - list markers, fenced code blocks) without changing content Additional Notes: * Binary formats (PDF, DOCX, XLSX, PNG) provide actionable file-saving guidance rather than raw base64 * Runs locally without external API dependencies, ensuring data privacy * Pre-configured prompts (e.g., convert-document, extract-tables, analyze-and-repair) orchestrate multiple tools * Resource URIs provide a JSON list of supported formats and a conversion guide

Which integrations are available for this server?

Enables the export of AI-generated questions and assessments into formats compatible with the Canvas Learning Management System. Supports exporting questions and educational content as Markdown for use in GitHub-based learning repositories and documentation. Facilitates the bulk upload of questions to Google Forms by exporting them into compatible spreadsheet formats. Converts messy AI-generated output into clean, structured Markdown for documentation and educational materials. Allows for the export of questions directly into formats that can be imported into the Moodle platform. Provides XML-formatted exports for seamless integration with various learning management systems like Canvas, Blackboard, or Moodle.

AI Answer Copier

by XJTLUmedia

Overview Schema Related Servers Score Discussions

TypeScript

Hybrid

AI Answer Copier — MCP-Powered Multi-Format Exporter

Turn "AI Noise" into "Classroom Ready" in 5 Seconds.

npm version License: MIT MCP Registry Glama GitHub

A Model Context Protocol (MCP) server that gives your AI assistant the power to convert Markdown into 23+ professional document formats, analyze documents, repair broken Markdown, and convert across platforms — all without leaving your AI chat.

npm: https://www.npmjs.com/package/@xjtlumedia/markdown-mcp-server

Why This Exists

You asked an AI to write 20 questions. It delivered. But now you're stuck:

Pain Point	Manual Workflow	With AI Answer Copier
Extracting Q&A	10–15 min copying each line	2 seconds (auto-detect)
Formatting Math	20 min fixing broken symbols	Instant (KaTeX support)
LMS Upload	15 min manual CSV entry	1-click export
Total Prep Time	~45–60 minutes	< 1 minute

Generating content takes seconds. Formatting it for the real world takes an hour. This MCP server eliminates that gap entirely.

Live Demo

Online web version (no install needed): ai-answer-copier.vercel.app

Test MCP tool in inspector:

Use actual MCP instance:

All 33 MCP Tools

Document Conversion Tools (15)

#	Tool	Output	Description
1	`harmonize_markdown`	`.md`	Standardize and normalize Markdown syntax (ATX headers, `-` list markers, fenced code blocks) without changing meaning
2	`convert_to_txt`	`.txt`	Strip all formatting to produce plain text
3	`convert_to_html`	`.html`	Full styled HTML document with GFM tables, KaTeX math, and embedded stylesheet
4	`generate_html`	HTML string	Generate self-contained HTML with all styles inlined (read-only, no file I/O)
5	`convert_to_pdf`	`.pdf`	Print-ready PDF via headless Chromium with full KaTeX math and syntax highlighting
6	`convert_to_docx`	`.docx`	Microsoft Word document with styled headings, lists, and code formatting
7	`convert_to_latex`	`.tex`	LaTeX source code with `\section`, list environments, and native math pass-through
8	`convert_to_rtf`	`.rtf`	Rich Text Format for legacy word processors and email clients
9	`convert_to_csv`	`.csv`	Extract GFM pipe-tables to comma-separated values
10	`convert_to_json`	`.json`	Structured JSON representation with sections, headings, lists, code blocks, and tables
11	`convert_to_xml`	`.xml`	Well-formed XML with `<?xml?>` declaration and structured elements
12	`convert_to_xlsx`	`.xlsx`	Excel spreadsheet — each Markdown table becomes a sheet
13	`convert_to_image`	`.png`	Full-page PNG screenshot via headless Chromium
14	`convert_to_md`	`.md`	Export Markdown to file, optionally harmonizing formatting first (`harmonize=true`)
15	`convert_to_email_html`	`.html`	Email-optimized HTML with all styles inlined, compatible with Outlook, Gmail, Apple Mail

Platform Converter Tools (10)

#	Tool	Target Platform	Description
16	`convert_to_slack`	Slack	mrkdwn format — bold as `*`, links as `<url\|text>`, headers as bold text
17	`convert_to_discord`	Discord	Styled bold/underline headers, preserved code blocks
18	`convert_to_jira`	JIRA	Wiki markup — `h1.`/`h2.`, `{code}` blocks, `[text\|url]` links
19	`convert_to_confluence`	Confluence	Wiki markup with `{info}`, `{note}` panels and `{code:language=x}` syntax
20	`convert_to_asciidoc`	AsciiDoc	`=` headers, `----` code blocks, `url[text]` links, `image::` directives
21	`convert_to_rst`	reStructuredText	Underlined headers, `.. code-block::` directives, RST reference syntax
22	`convert_to_mediawiki`	MediaWiki	`==` headers, `'''bold'''`, `<syntaxhighlight>` tags, `{\ wikitable`
23	`convert_to_bbcode`	BBCode	`[b]`, `[i]`, `[code]`, `[url]`, `[img]` tags for phpBB/vBulletin forums
24	`convert_to_textile`	Textile	Markup for Redmine, Basecamp, and CMS platforms
25	`convert_to_orgmode`	Emacs Org Mode	`*` headers, `#+BEGIN_SRC`/`#+END_SRC` code, `[[url][text]]` links

Import Tools (1)

#	Tool	Description
26	`html_to_markdown`	Convert HTML content (full document or fragment) back to Markdown

Repair & Lint Tools (2)

#	Tool	Description
27	`repair_markdown`	Fix broken Markdown from LLM output or copy-paste — unclosed code fences, broken tables, stray emphasis markers, missing heading spaces, broken links
28	`lint_markdown`	Lint and report issues as JSON array with line number, severity, rule name, message, and fixable flag

Document Analysis Tools (5)

#	Tool	Description
29	`extract_code_blocks`	Extract all code blocks with language, content, and start/end line numbers
30	`extract_links`	Extract all links and images with text, URL, line number, and type (inline, reference, image, autolink)
31	`generate_toc`	Generate Markdown Table of Contents from headings with configurable `max_depth` (1–6)
32	`analyze_document`	Comprehensive statistics — line/word/character/paragraph/sentence counts, heading/code/table/link/image counts, estimated reading time
33	`extract_structure`	Bird's-eye document architecture — statistics, heading outline, code block summary, link summary

6 Built-in Prompts

Pre-configured prompt templates that orchestrate multiple tools:

Prompt	Description
`convert-document`	Convert Markdown to any supported format (PDF, DOCX, HTML, LaTeX, CSV, JSON, XML, XLSX, RTF, PNG, TXT, MD)
`extract-tables`	Extract all tables from Markdown and export as CSV or XLSX
`format-for-sharing`	Harmonize formatting, then convert to both PDF and HTML for distribution
`analyze-and-repair`	Lint → Repair → Re-lint to confirm all issues resolved
`convert-for-platform`	Convert Markdown to any platform format (Slack, Discord, JIRA, Confluence, AsciiDoc, RST, MediaWiki, BBCode, Textile, Org Mode)
`document-overview`	Full overview — statistics, TOC, code blocks, and links in one report

2 Resources

Resource URI	Description
`markdown-formatter://supported-formats`	Complete JSON list of all 23+ output formats with tool names and types
`markdown-formatter://conversion-guide`	Guide for choosing the right output format based on your use case

Quick Start

Install via npx (Recommended)

No installation needed — just configure your MCP client:

{
  "mcpServers": {
    "ai-answer-copier": {
      "command": "npx",
      "args": ["-y", "@xjtlumedia/markdown-mcp-server"]
    }
  }
}

Install Globally

npm install -g @xjtlumedia/markdown-mcp-server

Then configure:

{
  "mcpServers": {
    "ai-answer-copier": {
      "command": "markdown-mcp-server"
    }
  }
}

Configuration by AI Client

🔌 Claude Desktop

Edit %APPDATA%\Claude\claude_desktop_config.json (Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "ai-answer-copier": {
      "command": "npx",
      "args": ["-y", "@xjtlumedia/markdown-mcp-server"]
    }
  }
}

Restart Claude Desktop. You'll see a 🔌 icon — all 33 tools are now available.

VS Code (GitHub Copilot)

Add to .vscode/mcp.json or VS Code settings:

{
  "servers": {
    "ai-answer-copier": {
      "command": "npx",
      "args": ["-y", "@xjtlumedia/markdown-mcp-server"]
    }
  }
}

Cursor / Windsurf / Any MCP Client

Use the same npx command pattern above in your client's MCP configuration.

DIY version (local build)

{
  "mcpServers": {
    "markdown-formatter": {
      "command": "node",
      "args": [
        "YOUR_PATH_TO_PROJECT/mcp-server/dist/mcp-server/src/index.js"
      ]
    }
  }
}

Replace YOUR_PATH_TO_PROJECT with the absolute path to this folder.

HTTP Mode (Vercel)

A hosted HTTP endpoint is available for browser-based and remote integrations:

https://ai-answer-copier.vercel.app/api/mcp

Test with MCP Inspector:

npx @modelcontextprotocol/inspector https://ai-answer-copier.vercel.app/api/mcp

Usage Examples

Once connected, just talk to your AI naturally:

"Generate 10 physics questions about Newton's Laws and export them as a Kahoot CSV." → AI uses convert_to_csv

"Convert this markdown into a Word document and save it to my Desktop." → AI calls convert_to_docx with output_path

"Take these lecture notes and produce a print-ready PDF." → AI calls convert_to_pdf with Puppeteer rendering, KaTeX math, and syntax highlighting

"Turn this into a Moodle-compatible XML quiz bank." → AI calls convert_to_xml

"Format this for Slack and send it to the team channel." → AI calls convert_to_slack

"Check this Markdown for issues and fix them." → AI calls lint_markdown then repair_markdown

"Give me an overview of this document — word count, structure, all links." → AI chains analyze_document + generate_toc + extract_links

Features

23+ Output Formats

Export to PDF, DOCX, HTML, LaTeX, CSV, JSON, XML, XLSX, RTF, PNG, TXT, Markdown — plus Slack, Discord, JIRA, Confluence, AsciiDoc, RST, MediaWiki, BBCode, Textile, Org Mode, and Email HTML.

Math & Code as First-Class Citizens

Full support for KaTeX math expressions and syntax-highlighted code blocks. Your $\sqrt{x^2 + y^2}$ and Python snippets survive every conversion perfectly.

Smart Binary Handling

Binary formats (PDF, DOCX, XLSX, PNG) don't dump raw base64 into chat. The server returns actionable guidance so the AI knows to save to a file path.

Document Analysis & Repair

Lint Markdown, auto-repair broken formatting, extract code blocks and links, generate Table of Contents, and get comprehensive document statistics — all without leaving the chat.

GFM (GitHub Flavored Markdown)

Tables, task lists, strikethrough, autolinks — all parsed correctly via remark-gfm.

Puppeteer-Powered PDF & PNG

PDF and image exports use headless Chromium for pixel-perfect rendering with full CSS styling, KaTeX math, syntax highlighting, and print-optimized layouts.

Self-Contained

Zero runtime dependencies on external APIs. Everything runs locally. Your data never leaves your computer.

Architecture

┌─────────────────────────┐
│  AI Client               │
│  (Claude, Copilot,      │
│   Cursor, Windsurf)     │
└──────────┬──────────────┘
           │ MCP Protocol (stdio / HTTP)
           ▼
┌─────────────────────────┐
│  AI Answer Copier        │
│  MCP Server (33 tools)   │
│                          │
│  ┌── Conversion ────────┐│
│  │ remark/rehype, docx, ││
│  │ puppeteer, xlsx,     ││
│  │ CSV/JSON/XML/RTF/    ││
│  │ LaTeX/TXT parsers    ││
│  └──────────────────────┘│
│  ┌── Platform ──────────┐│
│  │ Slack, Discord, JIRA,││
│  │ Confluence, AsciiDoc,││
│  │ RST, MediaWiki,      ││
│  │ BBCode, Textile, Org ││
│  └──────────────────────┘│
│  ┌── Analysis ──────────┐│
│  │ Code blocks, links,  ││
│  │ TOC, stats, structure││
│  └──────────────────────┘│
│  ┌── Repair ────────────┐│
│  │ Lint, auto-repair    ││
│  └──────────────────────┘│
│  ┌── Import ────────────┐│
│  │ HTML → Markdown      ││
│  └──────────────────────┘│
└─────────────────────────┘

What's New in v2.1.0

This release hardens both the local (npx) and remote Vercel MCP transports with 8 logic fixes:

#	Fix	Area
1	Browser not closed on error — `try/finally` around `browser.close()` so Chromium never leaks on PDF/PNG failures	Both transports
2	— restored viewport meta, KaTeX stylesheet (SRI hash), and full inline styles so math renders correctly	Vercel `/api/mcp`
3	— added SRI integrity hash, table borders, and blockquote styling to match local output	Vercel `/api/mcp`
4	Session map memory leak — `instances` Map now evicts stale sessions after 30 minutes (`SESSION_TTL_MS`); `McpInstance` tracks `lastUsed`	Vercel `/api/mcp`
5	on normal SSE stream end — added inner `try/finally` that always calls `clearInterval(keepAlive)`	Vercel `/api/mcp`
6	— replaced bare `@ts-ignore` with a `typeof` guard so the server fails gracefully after SDK upgrades	Vercel `/api/mcp`
7	No input size validation — added 1 GB hard limit (`MAX_INPUT_BYTES`) to all tool calls to prevent runaway CPU/memory on oversized payloads	Both transports
8	DELETE method creates new session — handler now returns `200` immediately on DELETE, preventing phantom session creation	Vercel `/api/mcp`

Known Limitations

PDF / PNG require local Chromium — convert_to_pdf and convert_to_image launch a headless browser. This works fine with npx but is unavailable on Vercel's free tier (no bundled Chromium). Set the PUPPETEER_EXECUTABLE_PATH environment variable to point to your local Chrome if auto-detection fails.
Chromium version on Vercel — the remote endpoint uses @sparticuz/chromium-min with a pinned tar at v131.0.1. If Vercel bumps the Lambda runtime you may need to update the CHROMIUM_TAR_URL env var.
1 MB input limit — all tool calls reject inputs larger than 1 MB. Split large documents into sections before converting.
Session TTL (remote only) — sessions on the Vercel endpoint expire after 30 minutes of inactivity. Long-running stateful workflows should issue periodic keep-alive calls.

Development

# Clone the repository
git clone https://github.com/XJTLUmedia/AI_answer_copier.git

# Web app
npm install
npm run dev

# MCP server
cd mcp-server
npm install
npm run dev     # hot reload
npm run build   # production build
npm run inspector  # test with MCP Inspector

Tech Stack

Component	Technology
MCP SDK	`@modelcontextprotocol/sdk`
Markdown Parser	`unified` + `remark` + `rehype`
Math Rendering	`remark-math` + `rehype-katex`
Word Export	`docx`
Excel Export	`xlsx`
PDF/PNG Export	`puppeteer`
Schema Validation	`zod`
Runtime	Node.js (ESM)

Contributing

We welcome contributions! Whether it's a new export format, a bug fix, or documentation improvement — please consider making a pull request.

Fork the repository
Create a feature branch
Submit a pull request

License

Install Server

security – no known vulnerabilities

license - permissive license

quality - C tier

How are these scores calculated?

Resources

GitHub Repository

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