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How to Use the WordPress Post Drafter MCP in OpenAI Agents SDK

Use your OpenAI Agents SDK to automatically draft WordPress content in a production pipeline.

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OpenAI Agents SDK

Connect WordPress Post Drafter MCP to OpenAI Agents SDK

Create your Vinkius account to connect WordPress Post Drafter 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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Drafting Content with `create_wordpress_draft`

The `create_wordpress_draft` tool saves new posts directly into WordPress. You pass it the desired title and content, and it handles the rest. The post always lands as a Draft; nothing gets published live. This is great for turning your AI agents into an automated SEO engine. Because you're running this in a production agent system with guardrails, you know exactly what data makes it to WordPress.

Managing Agent Handoffs

Your OpenAI Agents SDK supports handoffs between specialized agents. One agent can generate the content, and another can invoke `create_wordpress_draft` using the validated title and body text. This process gives you full tracing via the dashboard. You build safety constraints into your deployment so that every action taken by your MCP Server is auditable.

Async Draft Creation

You can use `create_wordpress_draft` within an async context manager, which keeps things clean and fast. This means you don't have to wait for one post to finish drafting before starting the next. Handling multiple content pieces this way is quick. It’s perfect if your agent needs to draft several posts based on a large batch of input data.

Setup guide

Set up WordPress Post Drafter 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 Post Drafter tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives WordPress Post Drafter 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 Post Drafter 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 Post Drafter Agent",
            instructions="You have access to WordPress Post Drafter 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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Common questions about WordPress Post Drafter MCP in OpenAI Agents SDK

You simply expose the `create_wordpress_draft` tool to your agent. The agent detects it, and you call it with the title and content fields when a post needs drafting.
No. It's critical to know that `create_wordpress_draft` always saves the output strictly as a Draft within WordPress. Nothing gets published live, so you maintain full control.
This MCP Server handles string data for both the title and the content body. The content can be plain text or HTML format.
You pass this tool as an mcp_server to your agent constructor. This lets the AI client use it in conjunction with other specialized tools within your deployed product.
The server only touches text data: the post title and the post body content. This limits the scope of sensitive information handled by this MCP Server.

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