MCP for AI, now enabled in WordPress

This allows you to connect any AI to WordPress and therefore to ask the AI questions about the CMS or the project and the AI will answer them…

The artificial intelligence team at WordPress.com is moving very quickly and has just announced a new and important milestone. It is the integration of MCP technology (Model Context Protocol), which it uses to connect any generative artificial intelligence to any software, in this case within the CMS.

This allows any AI to be connected to WordPress and therefore to ask the AI questions about the CMS or the project and the AI will answer them without the human having to navigate the backend to look for the information. With this connection, the AI has access to the CMS and it becomes easy to retrieve information about published content, statistics, configuration and much more.

This new implementation logically promises to improve the efficiency and it has been carried out secure by design since nothing is stored locally. Now all paid WordPress.com plans have access to this feature and can enable it at any time, although for the moment with read only access (write access coming soon).

Perhaps the elephant in the room here is whether the LLM that gains access to the CMS can take the content to train itself. On WordPress.com this problem does not really exist since Automattic has already reached agreements for this to happen without needing to activate MCP.

According to what we have been able to confirm on the LinkedIn of Automattic’s head of AI, this new feature will also soon reach WordPress installations outside dot com via Jetpack, which brings together much of what Automattic has developed. In any case, all the work is also available on GitHub and can be applied to the open code side, although it is understood that by doing so the webmaster must assume that their data will not remain private and will likely be used by the LLMs that connect to train for free.

Each person should assess how useful a technology proves to be. However disruptive it may seem, there is no real obligation to adopt it if a clear and tangible benefit is not perceived.

* Original article written in Spanish, translated with chatGPT and reviewed in English by Jorge Mediavilla.

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