Contentrain
Open-source tools for developers. Studio workflows for teams.

Govern the content your AI ships into code.

Contentrain turns hardcoded UI copy, docs, and structured content into a Git-native system that AI agents can safely operate. Start locally with MCP, CLI, and SDK packages; add Studio when teams need review, roles, media, and delivery.

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Contentrain turns scattered interface strings into structured, governed content.
MIT packages 24 MCP tools 4 model kinds 27 field types 15 agent skills AGPL Studio core GitHub + GitLab providers MIT packages 24 MCP tools 4 model kinds 27 field types 15 agent skills AGPL Studio core GitHub + GitLab providers

The Problem

Your content was already scattered in time. AI makes it spread faster.

UI copy, docs, and locale strings already live across components and files. AI agents now create and change them faster multiplying the same governance problem.

  • Hard to review
  • Hard to audit
  • Hard to localize
  • Hard to scale
Scattered component, documentation, and locale files connected by fragmented workflows and warning markers.

One governed content system

Agent generates. Human approves. Git records every change.

The same typed content models power local developer tools and Studio workflows. Start in the repository, then add editing, roles, and review without moving content to a separate source of truth.

Developer Tools icon

Developer Tools

MCP, CLI, SDK, types, rules, and skills for bounded, framework agnostic content operations inside your repository.

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Contentrain Studio icon

Contentrain Studio

Structured editing, roles, and review for teams working on the same Git-backed content models, with media and delivery where enabled.

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Contentrain Studio

Ask for a change. Studio finds and updates the content.

No more digging through models and fields to find the right content. Just tell Studio what you want to change, and its project aware AI finds and updates it within your Git-backed workflow.

Contentrain Studio interface for editing and reviewing governed content.

From hardcoded copy to governed content

Start with the mess already in the codebase.

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

See normalize
Scan icon

Scan

Find user-visible strings with project context.

Extract icon

Extract

Create models and content files in Git.

Review icon

Review

Approve branches before changes become production content.

Control by design

Governance is part of the workflow. Not an add-on.

Content stays in Git. Models constrain its structure. Bounded tools, validation, branches, diffs, and review keep changes inspectable before they reach production.

A governed content workflow from agent proposal through validation, review, and Git merge.

Plans for every stage

Start open source. Add Studio when your team is ready.

Build locally with the MIT packages. Choose a Studio plan when content becomes a shared workflow across developers, editors, and reviewers.

Open Source

$0MIT packages

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

Starter

$9per month

For solo developers and small projects using Studio.

Pro

$49per month

For teams that need collaboration and higher limits.

Explore Contentrain

Start with what you need.

Solve a content problem, compare your current stack, or connect the tools you already use.

Connect your stack

Use Contentrain with the AI agents, Git providers, and frameworks already in your workflow.

  • AI Agents

    Claude Code, Cursor, Windsurf

  • Frameworks

    Nuxt, Next.js, Astro

  • Platforms & Infra

    GitHub, GitLab, Vercel

Start local. Scale to Studio.

Build a governed content layer before content becomes product debt.

Start locally with the MIT packages. Add Studio when teams need review, roles, structured editing, managed delivery, or deployment control.

Open Studio