Free WordPress MCP.
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How to Connect WordPress MCP to Google Antigravity 2.0

Connect Google Antigravity IDE & Agent directly to your WordPress site. Automate Elementor layouts, publish blog posts, audit SEO, and clean up spam — directly through AI chat without manual copy-pasting.

What You Can Do with Google Antigravity 2.0 + WordPress MCP

Google Antigravity 2.0 combines an IDE and an AI Agent framework. When linked to your WordPress site using Model Context Protocol (MCP), Antigravity can interact directly with your site's backend:

  • Automatically generate high-converting, stylish Elementor layouts and hero sections
  • Create, update, and publish blog posts and landing pages directly into WordPress
  • Audit site SEO, analyze content quality, and optimize meta titles and descriptions
  • Bulk manage comments, moderate pending approvals, and clean up spam
  • Manage pages, media libraries, user roles, and taxonomy tags with natural language prompts
  • Eliminate manual copy-pasting between Antigravity and your WordPress Dashboard

Generated Elementor pages currently use free Elementor widgets and pull responsive placeholder images from Unsplash — a solid starting layout you can refine further in the Elementor editor. Support for Elementor Pro and other paid widgets is on the roadmap for the plugin.


How to Connect Google Antigravity 2.0 with WordPress: Step-by-Step

01

Download the WSP MCP Plugin

You now only need a single plugin. On the WSP WordPress MCP GitHub, open Releases and download wsp-mcp-ai-agents-connector.zip from the latest release (v2.3.0 at recording). The MCP Adapter is bundled inside, so there is no separate adapter plugin to install anymore. Always grab the newest release — the version will be higher by the time you watch.

02

Install & Activate the Plugin in WordPress

In WP Admin, go to Plugins → Add New → Upload Plugin. Upload the ZIP and click Activate Plugin. A new "MCP" menu appears in your sidebar.

03

Enable Abilities & Elementor Permissions

Go to MCP → Settings. Turn on the abilities you want Antigravity to perform — read/create/update Posts and Pages, Media, Comments, Users, Taxonomy, and Site. Note: Elementor abilities only appear after the Elementor plugin is installed and active. Click Save Settings.

04

Copy Antigravity JSON Config Snippet

Go to MCP → Config Files, select the Antigravity tab, and click Copy to Clipboard.

05

Open MCP Configuration in Antigravity IDE

Open Antigravity Agent and click Open IDE. In the IDE, click the sidebar icon to reveal the Agent panel, then click the three dots (...) → MCP ServersManage MCP ServersView raw config (opens mcp_config.json).

06

Paste Config & Save the File

Paste the copied JSON into mcp_config.json and save the file. The snippet already includes your site's connection credentials, so there's nothing to replace.

07

Verify Connection and Run Your First Prompt

Back in Manage MCP Servers, click Refresh. You should see the WordPress MCP server listed as connected. Open Antigravity Agent, select Gemini 3.1 Pro (High) — avoid the Flash models, which give weaker output — and prompt: "Please create an Elementor page for our website design agency."


Frequently Asked Questions

Is connecting Google Antigravity 2.0 to WordPress free?

Yes! The WSP MCP – AI Agents Connector plugin (which bundles the MCP Adapter) is 100% free and open-source under the MIT license. Antigravity IDE also offers free model tiers.

Can Antigravity create Elementor layouts directly on my site?

Yes. Once connected, Antigravity Agent can create Elementor pages, build section containers, and insert headings, buttons, and placeholder media directly inside your WordPress site.

Do I need coding skills to connect Antigravity with WordPress?

No coding required. The entire process involves installing one plugin, then copying a ready-made JSON configuration snippet into Antigravity — no manual credentials to set up.

Which AI models in Antigravity work best with WordPress MCP?

We recommend Gemini 3.1 Pro (High) for the best multi-step reasoning and precise Elementor layout generation. Avoid the Flash models — in testing they produced noticeably weaker layouts.

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