MCP
mcp · setup
Connect Cursor, Claude Code, or Codex with @luno-cms/mcp — the agent interface for schema through publish.
- $npx -y @luno-cms/mcp setup
- →1) Claude Code 2) Cursor 3) Codex
- ✓Wrote .cursor/mcp.json + skills
- ✓MCP server luno-prod ready
LUNO is a hosted AI-era Backend Platform.
An AI-era Backend Platform is a hosted backend that agents and humans share. Agents BUILD and OPERATE through MCP. Humans REGISTER the site and GOVERN production in Console. Applications CONSUME the public API. LUNO is that platform — not a CMS, not a site builder. Publish is backend state. Ship is frontend release. Humans keep production authority.
Why now
They read data, operate services, execute changes, and finish work.
That shift needs a production backend agents can actually operate — with humans still governing what ships.
import { createClient } from '@luno-cms/mcp';
export async function initBackend() {
return createClient({ env: 'production' });
}TERMINAL
The new backend
Human-first backends were not designed for agents to build, change, and operate. LUNO is agent-readable from schema to publish — with human governance on every production boundary.
Operating Model
Agents BUILD and OPERATE through MCP. Humans REGISTER the site and GOVERN production. Applications CONSUME the public API. Same system of record.
For AI Agents
Connect from Claude Code, Cursor, Codex, and the agents you already use. MCP, API, and CLI are agent interfaces — not the product.
MCP
Connect Cursor, Claude Code, or Codex with @luno-cms/mcp — the agent interface for schema through publish.
For Humans
People and agents share the same production backend. Agents execute; humans govern changes and publishing — Console stays approachable when you need a dashboard.
Entries, fields, and publish flow — a human admin surface you can use as-is.

GOVERN
AI agents can build and operate the backend. Humans decide what they can change and what reaches production.
ContactAgents work only inside scoped keys and permissions — authority is bounded by design.
Approval and publish boundaries stay with the org. Review before changes go live.
See who published what. Agent actions land on the same operational trail as humans.
Production Backend
Hand your AI coding agents a production backend. Content, forms, auth, storage, APIs, and publishing are already built into the platform — no backend to assemble from scratch.
See operator surfacesInfrastructure
The servers, runtime, database, mail, and secure access are already in place.
Learn moreIdentity & Access
Authentication, authorization, MFA, SSO, and organizations are ready from the start.
Learn moreContent & Data
CMS, forms, data, storage, and search are already part of the backend.
Learn moreApplication
APIs, webhooks, workflows, jobs, and notifications work together out of the box.
Learn moreSecurity
Access control, audit logs, encryption, secrets, and policies are built into the foundation.
Learn moreDelivery & Operations
Deployment, environments, monitoring, logging, and backups are handled by the platform.
Learn moreHosted & Secure
Firewall, updates, and edge protection keep running. Security is proof you can ship production — not the story.
Proof
Same backend task after MCP schemas were redesigned for agent readability — 142 tool calls down to 11.
Internal blind test. Application behavior unchanged. Source: @luno-cms/mcp README.
The same internal blind test finished with 0 errors on the structured backend surface.
Internal measurement. Same backend task as 142 → 11. Source: @luno-cms/mcp README.
Scoped keys, approval, and audit — agents operate fast; humans keep production under control.
FAQ
Keep production under human control. Start building with MCP, API, and Console on one platform.
npx -y @luno-cms/mcp setup
Contact