OpenTalk2HTML-NotMD MCP Server

> AI talks to you through beautiful pages — not overwhelming markdown dumps.

OpenTalk2HTML-NotMD is an MCP server that transforms how AI agents communicate with you. Instead of drowning in raw markdown files that nobody can read, AI builds clean, organized HTML pages — reports, dashboards, landing pages, invoices, anything — delivered instantly, no browser required.

The Vision

AI should communicate with humans the way humans communicate with each other: through well-designed pages, not raw text files.

Every time an AI agent dumps markdown on you, it's choosing the easiest path for the machine — not the best path for you. OpenTalk2HTML-NotMD changes that. It gives AI agents a tool to create proper, structured, beautiful HTML pages that you can actually read, scan, and share.

One command. Any AI platform. Real pages.

npx -y @aimino/fast-html-mcp-server

The Problem → The Solution

See It In Action

*AI builds a real dashboard page in seconds — no browser, no Playwright, no Docker.*

Quick Start

npx -y @aimino/fast-html-mcp-server

Add to Claude Desktop, Cursor, VS Code, or any MCP client:

{
  "mcpServers": {
    "open-talk-2-html-not-md": {
      "command": "npx",
      "args": ["-y", "@aimino/fast-html-mcp-server"]
    }
  }
}

That's it. Your AI agent now talks to you through pages.

What Does This Look Like?

An AI agent using OpenTalk2HTML-NotMD can build you:

See all 22+ use cases in the interactive showcase.

How It Works

OpenTalk2HTML-NotMD is a five-tier MCP server purpose-built for AI-to-human communication:

OpenTalk2HTML-NotMD MCP Server
├── Assembly   → render_page (compose pages from components)
├── Patch      → patch_html, set_attribute, edit_html_range (make surgical edits)
├── Read       → read_html (inspect with 97% token savings)
├── Raw        → write_raw_html, format_html, preview_html
├── Email      → render_email, html_to_email (send to inbox)
└── Consistency→ propagate_edit, check_consistency (keep data in sync)

AI builds, edits, reads, and refines HTML pages — the same way you'd work with a document, except it happens in milliseconds and costs pennies.

Why This Exists

The Markdown Trap

AI agents default to markdown because it's the easiest output format. But markdown was designed for lightweight text formatting, not for communicating complex AI outputs to humans. The result:

• Users drown in walls of raw text
• No structure — everything is flat, nothing is scannable
• No visuals — tables, charts, and badges are ASCII at best
• No sharing — you can't send a markdown file to a colleague

The HTML Alternative

HTML fixes all of this: structure, navigation, styling, visuals, sharing — built in, no browser needed on the server side. The AI creates real pages that humans can actually consume.

OpenTalk2HTML-NotMD bridges the gap: AI writes HTML instead of markdown, and you get pages you can read, scan, and share.

Tools

Components & Templates

22 Components

Layout: `header`, `footer`, `sidebar`, `card-deck`, `grid`

Data: `data-table`, `stats-grid`, `timeline`, `financial-table`, `evidence-grid`

Visual: `risk-matrix`, `valuation-chart`, `prisma-flow`

Media: `figure`, `image-gallery`

Interactive: `tabs`, `accordion`

Utility: `hero`, `callout`, `code-block`, `citation-block`

25+ Templates

Reports: `report`, `exploration`, `research`, `code-review`, `equity-research`, `lit-review`, `research-briefing`, `scientific-paper`, `journal-club`, `earnings-summary`, `industry-overview`

Business: `invoice`, `budget`, `financial-summary`, `data-sheet`, `dashboard`, `financial-dashboard`

Communication: `newsletter`, `changelog`, `faq`, `meeting-notes`, `comparison`, `landing-page`, `error-page`

Presentation: `pitch-deck`, `deck`, `design`, `prototyping`, `illustrations`

Developer: `api-doc`, `custom-editor`, `minimal`, `documentation`

Performance Benchmarks

Why is it this fast?

1. #id fast-path — direct text substitution instead of full AST parsing (~10x faster)

2. Pre-compiled doT.js — templates compiled at startup, not render time

3. No browser runtime — operates on strings and AST, zero headless overhead

Architecture

The Ping-Pong Loop

1. Discover   → list templates & components
2. Build      → render a page
3. Inspect    → read it back (97% token savings)
4. Refine     → patch, edit, set attributes
5. Consistency→ propagate edits across sections

Key Design Decisions

• doT.js — 10x faster compile time than Handlebars/EJS
• #id fast-path — direct string substitution for id-targeted edits
• parse5 — safe AST-based HTML patching (not regex)
• DOMPurify — XSS prevention on all output
• Atomic writes — tmp file + rename to prevent corruption
• ESM — Node.js 20+, TypeScript, ES modules

Token Efficiency (Why AI Agents Love This)

Designed from the ground up for AI token budgets:

Reading a 106KB HTML Page

Editing (500-line page, one value change)

Development

git clone https://github.com/Aimino-Tech/OpenTalk2HTML-NotMD.git
cd OpenTalk2HTML-NotMD
npm install
npm run build
npm run dev              # hot reload
npm test                 # vitest

License

GNU General Public License v3.0 — see LICENSE.

*Built by Aimino Tech — making AI communicate like a human.*