Contentrain AI

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Extract, govern, and ship structured content from your codebase.

Contentrain helps teams turn hardcoded UI text, docs, and structured content into a governed, reviewable content layer. Agents can extract, create, translate, and update content, while Contentrain enforces schema, Git review, and portable file output.

Agent extracts or updates content → Contentrain standardizes → Human reviews → Any platform consumes

Try it in 30 seconds

npx contentrain init        # create .contentrain/ workspace
npx contentrain serve       # open the local review UI

That's it. You now have a governed content workspace with models, validation, review branches, and a local UI — no account, no cloud, no proprietary content format.

Start here:

- See the 2-minute demo
- Open the normalize guide
- Read the docs

What Contentrain is for

- Rescuing hardcoded strings from existing apps and turning them into structured, translatable content
- Starting new projects with a real content layer instead of scattering copy across components
- Serving the same content across web, docs, mobile, and backend systems from plain JSON and Markdown in Git

What it is not

- Not an AI writing app
- Not a database-first or dashboard-first CMS replacement for every team
- Not a proprietary content runtime that locks your app to one platform

What it looks like

Before: Hardcoded strings scattered across your codebase — no structure, no translations, no review.

export default function Hero() {
  return (
    <section>
      <h1>Welcome to our platform</h1>
      <p>Start your free trial today</p>
      <button>Get Started</button>
    </section>
  )
}

After: Content lives in .contentrain/, typed and structured. Source files use i18n keys.

export default function Hero() {
  const t = useTranslations()
  return (
    <section>
      <h1>{t('hero.title')}</h1>
      <p>{t('hero.subtitle')}</p>
      <button>{t('hero.cta')}</button>
    </section>
  )
}

// .contentrain/content/marketing/hero/en.json
{
  "cta": "Get Started",
  "subtitle": "Start your free trial today",
  "title": "Welcome to our platform"
}

The normalize flow extracts strings, creates models, and patches your source files — all through reviewable git branches.

This is the strongest entry point into the product:

take the content chaos already in your codebase and turn it into a governed, reviewable content layer.

How it works

┌─────────────┐     ┌──────────────────┐     ┌──────────────┐
│  AI Agent    │────▶│  MCP (19 tools)  │────▶│ .contentrain/│
│  (decides)   │     │  (enforces)      │     │ (stores)     │
└─────────────┘     └──────────────────┘     └──────┬───────┘
                                                     │
                    ┌──────────────────┐              │
                    │  Review UI / Git │◀─────────────┘
                    │  (human approves)│
                    └──────────────────┘

- Agent decides what content should exist and where it should come from
- Contentrain enforces schemas, validation, canonical serialization, and git workflow
- Human reviews through branches, PRs, or the local Serve UI
- Output is plain JSON + Markdown that any language or framework can consume

4 content kinds

| Kind | What it stores | Storage | Example |
|---|---|---|---|
| Collection | Multiple typed entries | JSON object-map | Blog posts, products, team |
| Singleton | Single entry per locale | JSON object | Hero section, site config |
| Document | Markdown + frontmatter | .md files | Docs, articles, changelog |
| Dictionary | Flat key-value strings | JSON flat map | i18n translations, UI labels |

27 field types (string, email, url, image, relation, array, object, markdown, ...) with built-in validation.

Use your content anywhere

Content is plain JSON and Markdown. Any language reads it directly.

For TypeScript projects, generate a typed SDK:

npx contentrain generate

import { query, singleton, dictionary, document } from '#contentrain'
const hero    = singleton('hero').locale('en').get()

const posts   = query('blog-post').locale('en').include('author').all()

const labels  = dictionary('ui-labels').locale('tr').get('auth.login')

const article = document('docs').locale('en').bySlug('getting-started')

Works with Nuxt, Next.js, Astro, SvelteKit, Vue, React, Node, Go, Python, Swift, Flutter, and 20+ stacks.

Why teams use it

- Git-native — every write goes through worktree isolation + review branches
- Normalize flow — scan codebase for hardcoded strings → extract → create i18n-ready content → patch source files
- MCP engine — 19 tools over stdio or HTTP transport, works with Claude Code, Cursor, Windsurf, or any MCP client
- Provider-agnostic engine — the same tool surface runs over a local worktree, GitHub, or GitLab (self-hosted included) with zero tool-code changes. HTTP transport available for remote drivers such as Studio.
- Canonical serialization — sorted keys, deterministic output, clean git diffs, conflict-free parallel edits
- Agent rules & skills — behavioral policies and step-by-step workflows ship as npm packages
- Serve UI — local web dashboard for browsing models, content, validation, and normalize status
- Framework-agnostic — MCP doesn't know your framework. Agent + skills handle stack-specific logic

Agent Skills

This repo ships 15 Agent Skills — reusable workflow procedures that any AI coding agent can load on demand.

Install all skills to your agent:

npx skills add Contentrain/ai/packages/skills

Or install a specific skill:

npx skills add Contentrain/ai/packages/skills --skill contentrain-normalize

Skills work with Claude Code, Cursor, Windsurf, GitHub Copilot, OpenAI Codex, Gemini CLI, and 40+ other agents.

See AGENTS.md for the full skill catalog and agent guidance.

Packages

| Package | npm | Role |
|---|---|---|
| @contentrain/mcp | | 19 MCP tools + stdio / HTTP transport + Local / GitHub / GitLab providers |
| contentrain | | CLI + Serve UI + MCP stdio entrypoint |
| @contentrain/query | | Generated TypeScript query SDK |
| @contentrain/types | | Shared type definitions + constants |
| @contentrain/rules | | Agent quality rules for IDE integration |
| @contentrain/skills | | Workflow procedures + framework guides |

Starter Templates

Production-ready templates with Contentrain content models, generated SDK client, and framework-specific patterns:

| Template | Framework | Use Case |
|---|---|---|
| astro-blog | Astro | Blog / editorial |
| astro-landing | Astro | Landing page |
| next-commerce | Next.js | E-commerce storytelling |
| next-multi-surface-saas | Next.js | Marketing + app + docs unified |
| next-saas-dashboard | Next.js | SaaS dashboard UI copy |
| next-white-label-portal | Next.js | White-label / multi-tenant |
| nuxt-admin-console | Nuxt | Admin console / operations |
| nuxt-saas | Nuxt | SaaS marketing site |
| sveltekit-editorial | SvelteKit | Editorial / publication |
| vitepress-docs | VitePress | Documentation site |

Each template is a GitHub template repo — click "Use this template" to start.

Quick reference

npx contentrain init         # initialize project
npx contentrain serve        # local review UI (port 3333)
npx contentrain serve --stdio # MCP over stdio for IDE agents
npx contentrain validate     # check content health
npx contentrain generate     # generate typed SDK client
npx contentrain status       # project overview
npx contentrain doctor       # setup health check
npx contentrain studio login   # authenticate with Studio
npx contentrain studio connect # connect repo to Studio project

Documentation

- 2-Minute Demo — the fastest way to understand the product
- Getting Started — install, connect an agent, and run the first workflow
- Normalize Guide — the main hardcoded-string rescue flow
- Ecosystem Map — package-to-product bridges across AI and Studio
- Contentrain Studio — open-core team operations for Git-native structured content, self-hostable or available as a managed Pro/Enterprise offering
- Full Docs — guides, package reference, and framework integration

Development

pnpm install && pnpm build && pnpm test

See RELEASING.md for the versioning and publish workflow.

Community

- Discord — chat with the team and community
- GitHub Discussions — questions and ideas
- Twitter / X — product updates and announcements
- LinkedIn — company news
- YouTube — tutorials and demos
- GitHub Issues — bug reports and feature requests

If Contentrain AI is useful to you, consider giving it a star — it helps others discover the project.

License

MIT