Open-source developer wedge. Studio revenue surface.

Govern the content your AI ships into code.

Contentrain turns hardcoded UI text, docs, and structured content into a Git-native content layer. Developers start with MCP, CLI, and SDK packages. Teams scale with Studio.

Open Studio

MIT packages19 MCP tools4 model kinds27 field typesAGPL Studio coreGitHub + GitLab providers

normalize session

$ npx contentrain init

Scanning project graph...

Found 523 hardcoded strings in 47 files

Creating governed models...

✓ marketing/hero (singleton)

✓ ui-labels (dictionary)

✓ feature-cards (collection)

Review branch ready: cr/normalize/extract/marketing

MIT packages 19 MCP tools 4 model kinds 27 field types AGPL Studio core GitHub + GitLab providers MIT packages 19 MCP tools 4 model kinds 27 field types AGPL Studio core GitHub + GitLab providers

The operating model

One contract. Two adoption surfaces.

The MIT repo gets structured content into Git. Studio helps teams review, operate, and deliver that content.

Contentrain AI packages

MCP, CLI, SDK, types, rules, and skills. Local-first, framework-agnostic, and built for AI coding agents.

Explore developers

Contentrain Studio

The SaaS and licensed team surface for authenticated review, roles, media, forms, CDN, APIs, and enterprise control.

Explore Studio

Normalize is the wedge

Start with the mess already in the codebase.

Most teams do not wake up needing a CMS. They wake up with hardcoded copy, no translation path, and AI agents editing strings directly in source files.

See normalize

Scan

Find user-visible strings with project context.

Extract

Create models and content files in Git.

Review

Approve branches before changes become production content.

Launch map

Choose the route that matches your intent.

View pricing

Solution

Repeatable content infrastructure for every client project

Agencies can start each client with the same Git-native content workflow, template-driven models, Studio review, and delivery surface.

Solution

Govern the content your AI coding workflow creates

AI coding makes product surfaces faster to ship, but it also spreads copy, labels, docs, and locale strings across components. Contentrain gives that output structure, review, and reuse.

Solution

Let non-developers change content without losing Git control

Editors, marketers, translators, and reviewers can work through Studio while developers keep branches, diffs, validation, and source-of-truth control.

Solution

One content contract across web, docs, mobile, and backend systems

Platform teams can standardize content operations around plain JSON, generated SDK access, CDN delivery, and provider-backed Git workflows.

Open source

$0MIT packages

MCP, CLI, SDK, types, rules, and skills. No account needed.

Install CLI

Starter

$9per month

For solo developers and small projects using Studio.

Start trial

Pro

$49per month

For teams that need collaboration and higher limits.

Start trial

SEO and GEO routes

Use cases, comparisons, integrations, and templates.

Use cases

Give AI agents bounded content operations Use Git as the storage and audit layer for content Extract hardcoded UI strings before they become product debt Make localization a content workflow, not grep-and-replace

Comparisons

Contentrain vs Contentful Contentrain vs Directus Contentrain vs Payload Contentrain vs Sanity Contentrain vs Strapi

Integrations and templates

Claude Code, Cursor, Windsurf, GitHub Copilot, Cline, Continue, Aider, Any MCP client, Nuxt, Next.js and more. Starter templates mapped for expansion.

Start local. Scale to Studio.

Build a governed content layer before content becomes product debt.

Developers can start with the MIT packages. Teams can move into Studio when review, roles, delivery, and licensing matter.

Open Studio