An open-source headless CMS for managing content models and entries.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.kozmos-tech/inhalt" MCP server from askskill: Run: claude mcp add 'io-github-kozmos-tech-inhalt' -- npx -y @kozmos-tech/inhalt
Design a content model for a blog system with at least Article, Author, and Category types, and suggest fields for each.
A clear content model structure with suggested fields, ready to create in the CMS.
I am building a product documentation site. Propose a field structure for doc entries, including title, summary, body, tags, and publish date.
A suitable entry field list and organization plan for a documentation site.
Explain how to use a headless CMS to manage website content models and entries, and suggest a basic workflow for team collaboration.
A headless CMS content management workflow with collaboration suggestions.
Developers or product managers can use it to define content models and manage entries when building websites, blogs, or documentation portals. This keeps the frontend separate from content management.
Content teams can use it to manage multiple types of structured entries in one place. It fits scenarios that require clear fields and content structure.
It is an open-source headless CMS for managing content models and content entries. It focuses on content structure and backend management rather than page presentation itself.
Based on the given description, it suits developers, product managers, and content people who need to define content structure and maintain content data. Examples include maintainers of websites, blogs, or documentation projects.
The provided material does not include installation steps, runtime details, or key requirements. See the source repository for specifics.
Automate Contentful space management, metadata retrieval, and configuration updates.
Manage Kontent.ai content, types, taxonomies, and workflows in natural language.
Manage Kontent.ai content types, items, assets, and workflows with natural language.
Manage AI content rules, validation workflows, and localization configs locally.
Automate Prismic CMS queries, content search, type retrieval, and repository ref management.
Manage Concrete CMS content, users, and file uploads with natural language.