Contentrain - Git-Native AI Content Governance

# Contentrain > Git-native content governance for AI-built products. Developers start with MIT CLI, MCP, SDK, rules, skills, and types packages; teams scale with Studio for review, roles, media, CDN, forms, webhooks, usage, billing, and enterprise deployment. ## Core Positioning - Agent generates. Human approves. System standardizes. - Content lives in Git as structured JSON and Markdown instead of hidden CMS state. - AI agents operate through bounded MCP tools, rules, skills, validation, and reviewable branches. - Studio is the commercial team surface for non-developer editing, review, permissions, delivery, and enterprise control. ## Primary URLs - Website: https://contentrain.io - Studio: https://studio.contentrain.io - AI package docs: https://ai.contentrain.io - Studio docs: https://docs.contentrain.io - GitHub organization: https://github.com/Contentrain ## Product Pages - https://contentrain.io/developers - Start with MCP, CLI, SDK, rules, and skills: Developers get a local-first content stack: CLI setup, MCP tools, rules, skills, validation, generated SDK access, and a clear path into Studio when teams need review. - https://contentrain.io/enterprise - Govern AI content on your infrastructure: Enterprise Contentrain is for teams that need governed AI content operations on controlled infrastructure with licensed Studio capabilities, review controls, delivery surfaces, and operational support. - https://contentrain.io/integrations - Works with your agent, framework, and deployment path.: Contentrain stores content as plain JSON and Markdown in Git, exposes MCP tools to agents, and provides SDK/CDN access for runtime consumers. - https://contentrain.io/normalize - Turn hardcoded strings into governed content: Normalize scans existing code, extracts hardcoded UI text into structured content, patches reuse points, and turns AI-generated copy into a governed workflow. - https://contentrain.io/open-source - MIT packages and an AGPL Studio core: Contentrain u