AI Answer Copier — MCP-Powered Multi-Format Exporter

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

A Model Context Protocol (MCP) server that gives your AI assistant the power to convert Markdown into 22 professional document formats, batch-convert multiple documents across 22 formats in one call, 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

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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.

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Live Demo

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

Test MCP tool in inspector:

Use actual MCP instance:

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All 34 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

Batch Conversion (1)

#	Tool	Input	Description
34	batch_convert	items[] × formats[]	Batch-convert multiple Markdown documents to 22 formats in one call. Error-isolated per item+format. Optional output_dir for file output. Formats: txt, csv, json, xml, xlsx, latex, rtf, docx, pdf, html, md, email, slack, discord, jira, confluence, asciidoc, rst, mediawiki, bbcode, textile, orgmode

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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

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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

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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"
    }
  }
}

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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 34 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

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Usage Examples

Once connected, just talk to your AI naturally:

"Batch-convert 5 markdown documents into DOCX, PDF, and HTML simultaneously and save them to my Downloads folder." → AI uses batch_convert with items[] and formats[]

"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

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Features

22 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.

Batch Conversion

Convert multiple Markdown documents to multiple formats in one batch_convert call. Errors are isolated per item+format so one failure never blocks the rest.

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.

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Architecture

┌─────────────────────────┐
│  AI Client               │
│  (Claude, Copilot,      │
│   Cursor, Windsurf)     │
└──────────┬──────────────┘
           │ MCP Protocol (stdio / HTTP)
           ▼
┌─────────────────────────┐
│  AI Answer Copier        │
│  MCP Server (34 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 ││
│  └──────────────────────┘│
│  ┌── Batch ─────────────┐│
│  │ items[] × formats[]  ││
│  │ 22 formats, isolated ││
│  └──────────────────────┘│
│  ┌── Analysis ──────────┐│
│  │ Code blocks, links,  ││
│  │ TOC, stats, structure││
│  └──────────────────────┘│
│  ┌── Repair ────────────┐│
│  │ Lint, auto-repair    ││
│  └──────────────────────┘│
│  ┌── Import ────────────┐│
│  │ HTML → Markdown      ││
│  └──────────────────────┘│
└─────────────────────────┘

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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	generate_html missing KaTeX CSS — restored viewport meta, KaTeX stylesheet (SRI hash), and full inline styles so math renders correctly	Vercel /api/mcp
3	convert_to_html incomplete styles — 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	keepAlive interval not cleared on normal SSE stream end — added inner try/finally that always calls clearInterval(keepAlive)	Vercel /api/mcp
6	_initialized SDK-internal access — 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

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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.

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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

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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)

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Contributing

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

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

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License

MIT © XJTLUmedia

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Built by educators, for educators.
Reclaim 5 hours of your week. Let the AI handle the formatting.