Embedding AI into your organization can feel like assembling furniture: the box arrives, and you have all the parts, but somehow you can’t put it together.
With furniture, it’s usually a lack of the appropriate tools or sometimes a missing set of fasteners.
With AI, it’s more likely that the underlying infrastructure that would connect agents and other services to the rest of your tech stack.
Part of this is an awareness problem. There are protocols and APIs that can help, but developers need to know about them and how they’re supported within existing platforms and applications.
If you have the right CMS in place, you’re already off to a great start.
WordPress VIP, for example, has been named to the shortlist for Constellation Research’s CMS Hybrid for 2026, based on its API-first flexibility and user-friendly editorial tools.
From there, set up your environment for successful AI adoption by:
1. Mapping out how MCP could overcome AI integration headaches
Most enterprises are not only running a CMS but a CRM platform, a CDP, marketing automation suites, and more.
AI can wind up siloed from these core systems without the Model Context Protocol (MCP), an open standard that helps prevent developers from writing custom code for every model and tool.
Use our primer to educate yourself and any other relevant stakeholders on why MCP support is now a must-have.
2. Using Secure MCP to deploy AI agents with governance
The risk that scaling AI could create gaps in access controls and audit trails could bring adoption plans to a halt.
WordPress VIP has developed a solution that will satisfy developers and security teams alike.
Secure MCP is a single endpoint that sits in front of both WordPress MCP and VIP MCP’s 57 platform tools, replacing the sprawl of keys for each integration.
If you need to overcome concerns and objections about AI governance, here’s your response.
3. Discovering the difference WebMCP will make
Traditional MCP has been a breakthrough in handling the backend integration of read-only data to AI tools, but the story doesn’t end there.
The more recently developed WebMCP is remotely accessible and enterprise-authenticated, which is huge for running AI via tools accessed through a website in a user’s Chrome browser.
These are not competing standards. This side-by-side comparison will clarify how they complement each other.