CMS (SaaS) MCP server overview
The Model Context Protocol (MCP) is an open standard that lets AI clients connect to external tools and data sources. Instead of copying data into prompts or writing API scripts, MCP gives your AI client structured access to live systems.
The Optimizely Content Management System (CMS) (SaaS) MCP server is a hosted service that connects your AI client to CMS (SaaS). Use it to create front-end code components, audit existing content, find and update content details, perform content migrations, and more.
Benefits
The MCP server brings CMS (SaaS) into the tools you already work in. Enter queries like What are all of the content types updated in the last year? or Create a page using the following design file directly in your integrated development environment (IDE), terminal, or browser-based AI client. No dashboard or separate UI navigation required.
The server uses your Optimizely account credentials and sees exactly what your account has access to: the same CMS details and data as the Optimizely UI.
What you can do
The following CMS (SaaS) tools are available within the MCP server, organized by category: System tools for Content Management System (SaaS)System tools for Content Management System (SaaS).
Use the MCP server together with JavaScript SDK skills to:
- Complete the initial developer setup to speed up onboarding.
- Configure preview functionality.
- Fetch and create CMS (SaaS) content types.
- Create front-end React components based on CMS (SaaS) content types.
Who this is for
Developers working in AI-powered editors
If you use Cursor, Claude Code, Codex, or Visual Studio Code with Copilot, the MCP server lets you complete site implementation workflows without leaving your editor.
Technical marketers and editors in browser-based AI
If you use Claude Desktop, Claude.ai, Codex CLI, or ChatGPT, query your CMS (SaaS) instance in natural language for reporting and auditing purposes.
Get started
To begin using the MCP server, see Configure the CMS (SaaS) MCP server, which covers adding the server to your AI client, authenticating with your Optimizely account, and running your first query.