WordPress AI Agents

Model Context Protocol is an open standard developed by Anthropic that lets large language models safely interact with external systems and data sources. Think of it as an API designed specifically for AI. An MCP server exposes capabilities (read a post, publish a post, query analytics) and data (your WordPress posts, custom fields) to any compatible LLM. The AI can then perform actions as if it were a user of your system, except with better integration and real-time response.

No. MCP is a separate protocol layer. We build a custom MCP server that sits between your WordPress instance and an AI platform. It's not installed inside WordPress; it runs separately and communicates with WordPress via its REST API or database queries. This separation keeps your WordPress install clean and lets the server work across multiple AI tools at once.

Flexibility and independence. A custom ChatGPT integration works only with ChatGPT. If you later want to use Claude, Gemini, or another model, you rebuild from scratch. An MCP-based AI agent works with any LLM that supports the protocol. You avoid vendor lock-in and can switch AI platforms without losing your automation.

We start by mapping the WordPress data and workflows you want to automate. We then design the MCP server, define the capabilities (e.g., "post a new article," "query posts by keyword"), and test it against your WordPress instance. You receive the server code and documentation. We help you deploy it (usually to a lightweight cloud server) and provide training on how to use it in Claude or ChatGPT. Ongoing support covers updates, monitoring, and new capabilities as your needs evolve.

Both. A basic agent might just expose "read all posts" and "publish a post." But agents can enforce sophisticated logic: validation rules, approval workflows, conditional publishing, multi-step processes. For example, an agent could enforce that a post must pass a brand-voice check, have a minimum word count, include internal links, and go into draft state first, all before publishing. The complexity depends on what you define.

Scope-dependent. A simple agent (read posts, publish posts, add tags) might take 2-3 weeks. Complex workflows that connect WordPress to multiple external systems, enforce sophisticated logic, or handle large data volumes take longer. We estimate during the discovery phase.

MCP servers enforce strict permissions. We define exactly which capabilities are exposed and under what conditions. An AI can only do what the server allows. If you don't expose "delete posts," no AI can delete posts. Additionally, the MCP server is a separate system you control. You can monitor, audit, and shut down the server at any time. We also recommend starting with dry-run/review workflows (draft posts for human approval before publishing) so you maintain oversight.

Your MCP server keeps working. We'll provide you with documentation on how to use it in any new platform (Claude, ChatGPT, Gemini, etc.). The server is platform-agnostic—it's the LLM that changes, not the server.

Yes. MCP servers can read and write WordPress data via the REST API or direct database queries. They can trigger WordPress hooks and actions. If your plugins expose REST endpoints or are WordPress-standard, MCP can work with them. Custom code usually requires minor adjustments so the server can access the data it needs. We assess compatibility during discovery.