Automattic, the force behind much of WordPress's evolution, has started building real infrastructure for AI integration. The implications are significant — particularly for listed companies and asset managers whose investor platforms are built on WordPress.
Automattic's AI team
In May 2025, Automattic announced the formation of a dedicated AI team to explore how generative AI, large language models, and intelligent automation can be used across the WordPress ecosystem. This is not cosmetic — it is a methodical integration of intelligent systems into core tooling, with a focus on open standards.
The Model Context Protocol (MCP)
At the heart of this shift is the Model Context Protocol (MCP) — an open standard for integrating LLMs into structured workflows. MCP defines how prompts, model requests, metadata, responses, and context are exchanged between systems. It brings structure, consistency, and traceability to AI-powered interactions — every request and response can be versioned, audited, and understood.
Automattic's implementation
Automattic has released two foundational projects:
- wordpress-mcp: A plugin enabling WordPress to communicate via MCP natively — the bridge between content workflows and AI systems.
- mcp-wordpress-remote: A supporting service for secure remote model execution for sites that don't want to host LLMs locally.
We tested this stack in our own environment — AI-assisted content drafting directly inside the block editor. The experience is fluid: outlines, copy, and translation can be generated inline, without leaving the editing interface.
These projects are expected to become part of WordPress core, bringing native AI capabilities to millions of sites.
AI in regulated environments
For clients operating in regulated industries — capital markets, asset management, life sciences — deploying AI into a publishing system requires guardrails. We implement the MCP framework with:
- Audit trails for every AI interaction (prompt, parameters, model, response)
- Human-in-the-loop publishing workflows, where AI-generated content is staged and approved before going live
- Data handling policies to prevent unintended leakage of sensitive or regulated information
- Version control on AI-generated drafts, so there is always a clear record of what was suggested and what was approved
These are not optional for companies operating under FCA disclosure rules or similar regulatory frameworks.
Why this matters for investor platforms
The combination of Automattic's open-source AI tooling and the MCP standard gives a foundation for building AI into investor platforms responsibly. For the listed companies and asset managers we work with, this means content workflows that respect editorial processes, compliance requirements, and risk frameworks — while taking advantage of the productivity improvements AI can deliver.
AI is becoming part of the WordPress core ecosystem. For investor platforms, the question is no longer whether to adopt it, but how to do so in a way that meets the standards the market expects.