ENTGENAI

Installation

Installation and use of this plugin is straightforward:

Installation and Configuration

1. Download the plugin files and copy to your Plugins directory.
2. Activate the plugin through the ‘Plugins’ menu in WordPress.
3. Navigate to Dashboard, EntGenAi Options, then choose Config from the list of entries.
4. Configure your AI Provider, select the model you wish to use, enter your API Key. Then, for the purpose of saving generated content, specify also whether to save the draft as pages or posts. This will apply to all generated content till you change this setting again. Finally, press the “Save Settings” button.

Using the “Generate” option to create pages or posts
5. After you have configured your chosen LLM (AI Provider), select the Generate entry in the EntGenAi Options menu. You should see at the top what Provider is in use.
6. Enter your system prompt (optionally), and below that, your prompt describing what you would like to generate (For instance, write an article about Agentic AI in finances). Press AI Generate, and wait patiently (hopefully not for too long).
7. Store your generated work as a WordPress draft page or post (as per your chosen configuration in this regard).
8. Edit the saved draft, then if you lie the end result, publish the page or post for the World to see.

Using the “Blogger Draft” option to create drafts about trending topics, and matching your writing style

1. The simplest way is to just enter a topic hint and press “Generate Draft” without configuring an MCP Server in the Settings section of the same page.
2. When the response comes back, you should see a list of trending topics in an ugly paragraph (for now) just below the “Generate Draft” button, and below that the Selected topic.
3. Then, in the next card or panel you should see the Generated Draft, only as an html view so far. At that time that content has already being saved as a Draft page or post (based on your chosen config in this regard). You can press the “Open Draft in Editor” button to edit the draft in the WordPress Editor.
4. Alternatively, you can choose “Generate Another” to repeat the previous process.
   1.1 Another way to use the above is to first configure the MCP server you would like to use for the AI to discover trending topics, and then continue with “Generate Draft” and the other steps above. There are 2 choices, the Brave API, which require you to obtain a key (see details on that admin interface), and MCP server-fetch, which requires you to have a running installation of a @modelcontextprotocol/server-fetch instance.

The real power in the current version is found in using the plugin programmatically

While the admin interface provides some valuable use cases, you can get a lot more power from the plugin by connecting to it programmatically from custom code you could create on a separate plugin or theme. This would allow you to specify a whole workflow to chain together several tools from different MCP servers and tools you create, and one or more LLMs using them based on your instructions to create something unique for your needs or your imagination.

Using the Plugin from another Plugin or Theme:

A few hooks are provided to make this possible:
– entgenai_generation_request (via apply_filters): Use this hook to submit a completion request (generative text request) to the LLM previously configured in the admin interface of the Plugin (see above).
– entgenai_completion_response (action): Use it to receive responses emited by the Plugin. This is an action, with arguments, which contains the name of the AI Provider, the prompt submitted and the text content of the response received.
Beyond standard text generation, EntGenAI also exposes its MCP (Model Context Protocol) infrastructure through three additional hooks:
– entgenai_mcp_call_tool (filter): call any tool on any MCP server through EntGenAI’s client. Pass the server URL, tool name and arguments; receive the tool output (or a WP_Error).
– entgenai_mcp_list_tools (filter): list all tools advertised by a remote MCP server. Pass the server URL; receive an array of Tool objects (or a WP_Error).
– entgenai_mcp_register_tools (action): register your own tools on EntGenAI’s built-in MCP server. Hook into this action and call $mcp_server->tool() to expose new tools to any MCP client (Claude for Desktop, Cursor, etc.) connecting to the /wp-json/mcp/v1/mcp endpoint.
This is the foundation of EntGenAi for Applications: a framework for building complex, AI-driven workflows directly within WordPress.

Read carefully the FAQ section below, for additional information, and to understand how your data is used as part of the regular functionality of this Plugin.