<p align="center"><img src=".github/cover.png" alt="Contentrain — content governance for teams and AI agents" width="100%"></p>

Contentrain AI

Website · Docs · Discord · Twitter · LinkedIn

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

Contentrain is a content governance ecosystem for teams and AI agents. Agent generates. Human approves. Git records every change.

This repository holds its open-source tools (MIT, no account needed): the MCP engine, CLI, query SDK, rules, skills and types, plus the open packages of the WordPress migration pipeline (wp-import, emitter-astro, verify, astro-kit, decide). They help teams turn hardcoded UI text, docs, and structured content into a governed, reviewable content layer that lives in Git as structured JSON and Markdown. 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 (23 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

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, 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 — 23 tools (5 more for media on a media-capable provider such as Studio) 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 16 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		23 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
@contentrain/wp-import		WordPress WXR / REST → RawIR → .contentrain store
@contentrain/emitter-astro		ProjectIR → a complete Astro project
@contentrain/verify		SEO, indexing, link and asset gates for a built site
@contentrain/astro-kit		Copy-in Astro components + catalog + builder mapping tables
@contentrain/decide		Typed decisions — rule first, then Jev, then Claude Haiku — cached, budgeted, audited

Starter Templates

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

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

templates/astro-starter lives in this repository: the base a WordPress migration starts from — posts, pages, archives and permalinks, SEO, RSS, sitemap, search, Studio forms and comments, Gutenberg block styles — and it passes its own gates (astro check, knip, build + Pagefind, built-site checks) with no content. node scripts/starter-gates.mjs runs them on a standalone copy; CI runs them with the SDK at HEAD, empty and with the fixtures in templates/fixtures/ (wp-demo and others). The starter's own CI, which a delivered site keeps, adds Lighthouse.

Quick reference

npx contentrain init         # initialize project
npx contentrain setup        # configure the MCP server and rules for your IDE
npx contentrain import <wxr-or-url> # import a WordPress site into .contentrain
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 reconcile    # merge a diverged base branch, content-aware
npx contentrain studio login   # authenticate with Studio
npx contentrain studio connect # connect repo to Studio project

Documentation

• [2-Minute Demo](https://ai.contentrain.io/demo) — the fastest way to understand the product
• [Getting Started](https://ai.contentrain.io/getting-started) — install, connect an agent, and run the first workflow
• [Normalize Guide](https://ai.contentrain.io/guides/normalize) — the main hardcoded-string rescue flow
• [Ecosystem Map](https://ai.contentrain.io/ecosystem) — package-to-product bridges across AI and Studio
• [Contentrain Studio](https://ai.contentrain.io/studio) — open-core team operations for Git-native structured content, self-hostable or available as managed plans (Starter/Pro/Enterprise)
• [Full Docs](https://ai.contentrain.io) — guides, package reference, and framework integration

The Contentrain ecosystem

Contentrain has four parts. This repository is the first.

Development

pnpm install && pnpm build && pnpm test
pnpm lint          # oxlint, warnings treated as errors
pnpm docs:check    # the docs must not state a number the code disagrees with

pnpm docs:check runs three checks, all needing pnpm build first:

• facts — resolves counts (MCP tools, skills, field types, capability keys)

from the packages that own them and compares every place the docs, this README and AGENTS.md state one.

• examples — every @contentrain/* import in a documented example must

name a real export, and no example may mix CommonJS with a top-level await (a shape that runs in no module system at all).

• server.json — packages/mcp/server.json (the MCP Registry manifest)

must name the current @contentrain/mcp version.

The facts and examples checks self-test against real defects from this repo's history before they run, so a check that stops catching fails loudly instead of passing silently.

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