Stop reading plain markdown.
See it rendered.
Instead of answering with a wall of markdown text, your AI builds the real page — HTML, CSS, JS — and Htmly deploys it instantly. One tool call gives you a live link you can actually open and look at.
{
"mcpServers": {
"htmly": {
"url": "https://html.shloksheth.tech/sse"
}
}
}In simple words
Normally your AI replies with a block of markdown you have to read and imagine. Htmly turns that answer into a real, rendered web page and deploys it in an instant — so you can see what it built, in a far more visual way, not just read about it.
Push-to-visualize
Your agent sends a bundle of HTML/CSS/JS through one tool — render_files — and gets back a live URL instantly.
Multi-file projects
Full project structures are supported: index.html, styles.css, app.js and more, written in parallel for speed.
Isolated workspaces
Every request gets its own cryptographically unique workspace, so previews never collide.
Zero install, remote-first
Built on Server-Sent Events. No package to download, no local process — just point your client at the URL.
How it works
Three steps from connecting the server to a live page.
Connect Htmly
Add the SSE endpoint to your AI client using any of the methods above. Takes about a minute.
Ask for a visual
Tell your agent what you want to see — "show me this data as a dashboard" — and it writes the HTML.
Open the live link
Htmly hosts the result and hands your agent a real URL. Click it and the page is already live.
Add Htmly your way
Same one-line endpoint, five different clients. Pick yours, copy the config, and you're connected.
Open Settings → Developer → Edit Config, then add Htmly to your mcpServers and restart the app.
{
"mcpServers": {
"htmly": {
"url": "https://html.shloksheth.tech/sse"
}
}
}Frequently asked
MCP (Model Context Protocol) is an open standard that lets AI assistants use external tools. An MCP server exposes those tools — Htmly's tool is render_files, which turns code your AI writes into a hosted web page.
Give your AI a place to render.
Copy the endpoint, drop it into your client, and your next prompt can come back as a live web page.
https://html.shloksheth.tech/sse