How to Use the WordPress Post Drafter MCP in Windsurf

Turn AI output into structured drafts automatically with Windsurf.

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Connect WordPress Post Drafter MCP to Windsurf

Create your Vinkius account to connect WordPress Post Drafter to Windsurf 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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Setup WordPress Post Drafter with Windsurf

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Automated Draft Generation

Windsurf uses `create_wordpress_draft` to take content and title inputs. It saves the entire post directly as a WordPress draft. You don't have to manually copy anything into WordPress after generation. This is perfect for running an entire SEO workflow through Cascade. Set your goal, let Windsurf figure out the steps, and watch it handle the final drafting step without prompting you.

Content Pipeline Integration

`create_wordpress_draft` accepts both plain text and HTML for content, making it flexible. Since the post always lands as a Draft, your AI-generated work is safe and ready to review before any publishing happens. Cascade can chain this tool after running data checks or generating outlines. You define the initial goal (e.g., 'Write about X'), and Windsurf executes every step, including drafting.

Context-Aware Drafting

The `create_wordpress_draft` tool handles post creation by requiring a title and content body. It ensures the output is structured correctly for WordPress's native draft system. Instead of multiple manual steps, you give Windsurf one objective. The agent reads all prior context—the data source, the outline, and the final text—and executes the complete drafting sequence automatically.

Setup guide

Set up WordPress Post Drafter MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the WordPress Post Drafter MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my WordPress Post Drafter payment history." If connected, Cascade will call the WordPress Post Drafter tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "wordpress-post-drafter-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 Windsurf

It takes content generated by your AI client and pushes it straight into a WordPress draft. You never have to manually paste the text or set up the post details in the WordPress dashboard.

Yep, you can pass both plain text and full HTML markup into `create_wordpress_draft`. This means your AI-generated formatting—like headings or lists—stays intact when the draft hits WordPress.

Nope. The tool is designed only to save content as a Draft. Your work stays safely in drafts, giving you time to review and polish the post before hitting 'Publish'.

It touches standard WordPress post metadata, specifically the title and body content (which includes plain text or HTML).

Absolutely. Because it's tied to Windsurf’s Cascade agent, you can chain this drafting tool after data retrieval or content outlining within the same automated workflow.

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