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How to Use the WordPress MCP in OpenAI Agents SDK

Write production agents that manage your entire WordPress content lifecycle using the OpenAI Agents SDK.

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OpenAI Agents SDK

Connect WordPress MCP to OpenAI Agents SDK

Create your Vinkius account to connect WordPress to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Manage Site Content and Pages with MCP Server

The `list_blog_posts` tool retrieves a list of all current WordPress blog posts. You can also use `list_static_pages` to see the site's core, non-blog pages. Need specific content details? The `get_post_details` function grabs everything about one post, giving your agent full context before it acts.

Create and Update WordPress Posts via MCP Server

Start a new piece of content using the `create_new_post` tool. This makes sure the draft gets into the system immediately. If you need to tweak something, check the post first with `get_post_details`. You'll know exactly what data fields are available before your agent writes anything.

Audit Users and Delete Content using MCP Server

Run through all site accounts using `list_site_users` to see who has access. This is critical for security audits. If content needs to be scrapped, the `delete_post` tool removes a blog post completely.

Setup guide

Set up WordPress MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all WordPress tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives WordPress tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate WordPress tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="WordPress Agent",
            instructions="You have access to WordPress tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WordPress. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WordPress MCP in OpenAI Agents SDK

You pass the MCP Server object directly to your Agent constructor. Your agent can then auto-discover tools like `list_blog_posts` without you having to hardcode anything.
The agents execute actions against the live site data, such as creating a new post. All these agent actions are fully traceable right in the OpenAI dashboard for review.
Absolutely. You can use tools like `list_blog_categories` and `create_new_post`. The agent handles everything from reading existing categories to writing new content.
The server exposes site user data, including usernames and emails (via `list_site_users`), as well as post titles and slugs. This lets you audit who has access to what.
Yes, the SDK includes built-in guardrails that validate agent actions before they run. This prevents agents from running unauthorized or dangerous commands.

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