AI Changes How Content Gets Made, Not Why You Need a CMS
The tools your team already uses can create pages, update content, and manage assets here, without giving up governance or turning your site into someone else's black box.
What AI actually changes here
AI is good at making content faster. It's not a replacement for structure, and it doesn't decide what stays governed.
- 01
Your AI assistant can work directly in the CMS
Claude, GitHub Copilot, Cursor, and Windsurf can create pages, update content, and manage assets through natural language, without switching tools. - 02
Structured content is what makes that reliable
AI tools work better against clean content models than scraped HTML. That's the reason this works at all. - 03
Governance doesn't disappear because AI is involved
Role-based permissions and approval workflows stay in place regardless of how or where content gets created. - 04
What AI is actually replacing is the site-builder tier
Simple, one-off sites are where AI tools compete hardest. A real content operation across channels still needs a CMS underneath it.
AI Capabilities
Where AI shows up in the platform
Practical, not hype.
Natural-Language Editing
Create pages and update content by describing what you want, inside tools your team already uses.
MCP Server
Our Model Context Protocol server connects AI assistants directly to your content, currently in beta with 19 tools and OAuth 2.0.
See the MCP ServerAI-Built Proofs of Concept
We use AI to spin up POCs fast, so you can evaluate fit before committing to anything.
Governance Stays Intact
Approval workflows and permissions apply the same way, no matter who or what created the content.
Questions people ask about AI and Agility
Is AI going to replace the need for a CMS?
No, though it's changing how content gets made. AI is replacing the site-builder tier for the simplest sites, not what a real content operation needs: structured governance, workflows, and delivery across channels. Clean content models and open APIs matter more to that than the size of a vendor's sales team.
What AI capabilities does Agility support?
Agility connects directly to the AI tools your team already uses, including Claude, GitHub Copilot, Cursor, and Windsurf. Developers and content teams can create pages, update content items, manage content models, and handle media assets through natural language inside their AI assistant — without switching to a separate CMS interface. This works because Agility uses structured content models rather than unstructured HTML, which gives AI tools clean, reliable data to work with. Enterprise governance, approval workflows, and role-based permissions stay in place regardless of how or where content is created. Under the hood, this is powered by our Model Context Protocol (MCP) server, currently in beta at mcp.agilitycms.com, with 30+ tools and OAuth 2.0 authentication.
Wondering what this looks like for your specific stack?
Bring us your actual setup. We'll tell you honestly where AI helps and where it doesn't.