Contentrain - Git-Native AI Content Governance

# Contentrain > Contentrain is a Git-native content governance layer for AI-built products. Developers start with MIT CLI, MCP, query SDK, rules, skills, and types packages. Teams add Studio for structured editing, review, roles, and Git-backed operations, with media, delivery, APIs, and remote MCP available when the plan and deployment support them. ## Core Positioning - Agent generates. Human approves. Git records every change. - 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 adds structured editing, team review, roles, and Git-backed operations; managed media, delivery, APIs, and remote MCP depend on plan and deployment capabilities. ## 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/docs/mcp-connector - Connect AI clients to governed Contentrain projects: Use Studio's remote MCP Connector to let supported AI clients read and update structured project content through OAuth-scoped, Git-backed operations. - 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 tool