dotAI MCP Server

Description

The dotCMS MCP (Model Context Protocol) Server opens up a whole new way to interact with your CMS by letting AI agents and tools operate against a live dotCMS instance using natural language and contextual commands. Instead of navigating admin UIs or writing integration code, teams can deploy an MCP Server that exposes dotCMS capabilities as tools for AI assistants like Claude, GPT-based copilots, or AI-powered IDEs such as Cursor.

At its core, the MCP Server provides a secure bridge between AI agents and dotCMS’s content model, workflows, types, and operations. It understands your content structure, available actions, permissions, and business rules—so AI workflows generate meaningful results instead of generic guesses. With this in place, you can accelerate content creation, manage content types, search and organize content, and even generate front-end components, all with intelligent language prompts.

Benefits

For Content Teams

• Create, edit, and manage content using natural language through AI agents without navigating the traditional CMS interface.

• Speed up content migration by instructing AI to extract, transform, and import content from external sources.

• Empower non-technical users to perform multi-step content work through simple conversational prompts.

For Developers

• Use AI-powered IDEs to generate content types and front-end components automatically based on your CMS schema.

• Automate repetitive tasks and configuration workflows with minimal scripting.

• Streamline development and integration work by letting AI handle routine tooling and scaffolding tasks.

For Organizations

• Enable consistent, context-aware operations securely with scoped API tokens and audit trails.

• Shift repetitive CMS management tasks to intelligent agents to free up team time for strategic work.

Use Cases

Content Migration via AI
Migrate large content collections by asking an AI agent to read documents (like Word or Markdown) and create matching content items in dotCMS — formatting, field mapping, and workflow transitions included.

Design-to-CMS Automation
Use an AI IDE with MCP Server support to analyze designs (e.g., from Figma) and automatically create content types and matching front-end component skeletons.

Bulk Content Operations
Accelerate editorial processes by telling an AI agent to create multiple content pieces, update metadata across items, or manage workflows in batch without writing scripts or using the CMS UI.

Component Generation & Prototyping
Ask an AI to generate React, Angular, or other framework components that align with your content type schema — complete with props, validation, and field mapping — jumpstarting front-end development.

Resources

• MCP Server Documentation

• Intro to the MCP Server Blog Post

• Developer Blog Post: MCP Server Context for AI

• MCP Server Feature Intro Video