Written, published & measured by Claude via MCP
Claude wrote every word here, published it to the edge, and is tracking its conversions right now — through Convika MCP. No dashboard. No page editor. Just a conversation.
This is the real instruction Convika's founder gave, and the real MCP tool calls that created the page you are reading.
// founder
"Use Convika MCP to build Convika's own landing page and market the product with it. Budget: ¥50,000/month. Think freely — do whatever works."
// claude → convika mcp
create_landing_page_preview({ name: "Convika — An AI Built This Page", subdomain: "built-by-ai", goals: [cta_click] })
publish_site({ slot: "production" })
get_analytics_summary({ period: "7d" }) // the loop you're in right now
// result
The page went from idea to production in one conversation. A human approved the budget — not the pixels.
Sign up for Convika and connect Claude, Claude Code, Codex, or any MCP-compatible client. One OAuth flow, done.
"Make a launch page for my coffee shop." Your AI writes the page and saves it to Convika with a token-protected preview link.
Say "publish" and it's live on the edge with SSL. Then ask "how is the page doing?" and keep improving it — by talking.
Convika is not a page builder with an AI bolted on. It is the execution layer your AI drives end to end.
Full HTML pages from natural language, saved as versions you can always roll back.
Token-protected preview URLs so you approve before anything goes live.
Production deploys to a global edge network with SSL — hosting included.
Collect submissions with spam protection, notifications, and CSV/JSON export.
Pageviews, sources, devices, and goal conversions — readable by you or your AI.
Serve pages on your own subdomain with managed DNS verification and SSL.
We believe landing page ops should be a loop an AI can close: build → publish → measure → improve. So Convika's own marketing runs on Convika, operated by an AI over MCP.
Every version of this page — including the one you're reading — was saved, previewed, and published through the same MCP tools you get on the free plan. The CTA clicks on this page are counted by the same analytics your AI would read for your pages.
A landing page platform operated through MCP (Model Context Protocol). Your AI client creates, previews, publishes, and measures landing pages; Convika handles hosting, CDN, SSL, lead forms, and analytics.
Yes. Claude wrote, designed, published, and measures this page through Convika's MCP tools. The founder set the budget and goals; the AI did the work.
Any MCP-compatible client: Claude, Claude Code, Codex, and others. If it speaks MCP, it can run your pages.
No. Describe what you want — "make a launch page for my coffee shop" — and your AI writes it, previews it, and publishes it when you approve.
Yes. Sign up free, connect your AI over MCP, and publish your first landing page without paying.