Contentrain AI
MCP serverAI & modelsContentrain adds Git-native content governance to your AI. Once it is added, your AI can manage and govern content through 24 tools that produce the same result every time, with changes tracked in Git. It connects over stdio or HTTP.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Then ask your AI: use Contentrain AI
Details
Available today. Use it as a step in a pipeline you build, or from your connected AI.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
After adding it, connect it to your Git repository over stdio or HTTP and start putting your AI in charge of content governance.
What your AI can do with it
- Govern content using rules kept in Git
- Track content changes in your Git history
- Get consistent, repeatable results from its 24 tools
- Connect over stdio or HTTP
Install Contentrain AI
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user contentrain-ai 'https://studio.contentrain.io/api/mcp/remote'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://studio.contentrain.io/api/mcp/remoteAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=contentrain-ai&config=eyJ1cmwiOiJodHRwczovL3N0dWRpby5jb250ZW50cmFpbi5pby9hcGkvbWNwL3JlbW90ZSJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://studio.contentrain.io/api/mcp/remoteIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add contentrain-ai --url 'https://studio.contentrain.io/api/mcp/remote'Run it once, then sign in with codex mcp login contentrain-ai if the server asks for an account.
From the project's README
As published by contentrain/ai in README.md.
Website · Docs · Discord · Twitter · LinkedIn
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:
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 (27 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 — 27 tools (22 core + 5 media) 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 | 27 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/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:
| 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.
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, built-site checks, Lighthouse) 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 templates/fixtures/wp-demo.
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 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 — 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 managed plans (Starter/Pro/Enterprise)
- Full Docs — guides, package reference, and framework integration
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 two guards, both 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.mdstate one. - examples — every
@contentrain/*import in a documented example must name a real export, and no example may mix CommonJS with a top-levelawait(a shape that runs in no module system at all).
Both 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
Signals
- GitHub stars
- 6
- Last commit
- Oct 2026
- Weekly_downloads
- 6k weekly_downloads
Advanced
- Delivery
- contentrain MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-contentrain-contentrain- Source
- github.com/contentrain/ai
- Hosted endpoint
https://studio.contentrain.io/api/mcp/remote
More in AI & models
MCP server · upstash
More in AI & modelsAdButler
MCP server · adbutler
More in AI & modelsatom-mcp-server
MCP server · a7om-ai
More in AI & modelsottasia
MCP server · aiweather-anurag
More in AI & modelsCurrents
MCP server · currents-dev
More in AI & modelsunphurl
MCP server · 123ergo
More in AI & models