WordPress

Learn how to use Klavis to connect your AI application to WordPress MCP Server

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For Developer

Follow the instructions below to integrate WordPress MCP server to your AI application using our API or SDK.

Prerequisites

• Create an API key

1. Create a WordPress MCP Server

Use the following endpoint to create a new remote WordPress MCP server instance:

Request

Python

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="<YOUR_API_KEY>")

# Create a WordPress MCP server instance
wordpress_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.WORDPRESS,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

Response

SDK Response

{
  "serverUrl": "https://wordpress-mcp-server.klavis.ai/mcp/?instance_id=<instance-id>",
  "instanceId": "<instance-id>",
  "oauthUrl": "https://api.klavis.ai/oauth/wordpress/authorize?instance_id=<instance-id>"
}

serverUrl specifies the endpoint of the WordPress MCP server, which allows you to interact with WordPress sites.

instanceId is used to get an authentication token. After you complete the OAuth flow, this token allows the MCP server to access WordPress on your behalf.

2. WordPress OAuth Flow

Redirect users to the OAuth authorization flow:

Python

import webbrowser

webbrowser.open(wordpress_server.oauth_url)

Watch the Example

Explore MCP Server Tools

Tools Information

Tool Name	Description
wordpress_create_post	Create a new WordPress post
wordpress_get_posts	Get a list of WordPress posts
wordpress_update_post	Update an existing WordPress post
wordpress_get_top_posts	Get top WordPress posts for a site
wordpress_get_site_info	Get information about a WordPress site
wordpress_get_site_stats	Get statistics for a WordPress site
wordpress_get_user_sites	Get all WordPress sites the authenticated user has access to

For more details about tool input schema, use the list_tool API.