Kontent.ai MCP Server

Example Use Cases

• 1

  Connect Kontent.ai content projects with AI tools for natural language content management.

• 2

  Perform content type, item, taxonomy, asset, language, collection, space, role, and workflow management via AI.

• 3

  Prototype content models rapidly and visualize content structures in various formats.

Description

The Kontent.ai MCP Server implements the Model Context Protocol to enable AI models like Claude, Cursor, and VS Code to understand and operate on Kontent.ai content structures through natural language instructions. It supports rapid prototyping by transforming diagrams into live content models and offers data visualization of content models. The server supports both single-tenant and multi-tenant modes with flexible transport options, facilitating integration with various AI-enabled editors and tools.