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Elementor MCP Server

MCP Server

CRUD for Elementor pages via MCP

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Updated 10 days ago

About

A lightweight MCP server that enables Create, Read, Update and Delete operations on Elementor page data using WordPress application passwords.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MseeP.ai Security Assessment Badge

Overview

The Elementor MCP Server is a lightweight, WordPress‑centric Model Context Protocol service that lets AI assistants such as Claude perform CRUD operations on Elementor page data. By exposing a standardized MCP interface, the server eliminates the need for custom API wrappers or manual database access when manipulating Elementor blocks, templates, and settings. Developers can therefore treat any WordPress site equipped with Elementor as a programmable resource that the AI can query, modify, or generate content for in real time.

Why it matters

WordPress sites built with Elementor often require frequent updates—adding new sections, adjusting layouts, or tweaking styling. Traditionally, these tasks involve navigating the Elementor editor manually or writing PHP scripts that interact with WordPress APIs. The MCP server abstracts those complexities into a single, consistent protocol. An AI assistant can issue high‑level commands like “insert a hero section with a background image” or “remove the third widget from page X,” and the server translates them into the appropriate Elementor API calls. This streamlines content creation, reduces human error, and enables rapid prototyping of page designs.

Key features

  • Unified CRUD interface – Create, read, update, and delete Elementor blocks or entire pages through standard MCP endpoints.
  • Secure authentication – Uses WordPress application passwords, keeping credentials separate from the site’s main admin account.
  • Environment‑agnostic deployment – Works on macOS, Linux, and Windows via simple commands or Smithery integration.
  • Template‑driven workflow – Encourages the use of a dedicated Elementor project template, ensuring consistent structure across multiple sites.
  • Open‑source and MIT licensed – Developers can inspect, modify, or extend the server without licensing constraints.

Real‑world use cases

  • Dynamic landing page generation – An AI can pull campaign data, generate sections, and publish a new Elementor page on demand.
  • Rapid A/B testing – Swap out content blocks or styles across multiple pages with a single AI command, enabling quick iteration.
  • Content auditing – The assistant can scan all Elementor pages for deprecated widgets or accessibility issues and propose fixes.
  • Multi‑site management – For agencies managing several WordPress sites, the server provides a single point of control for updating Elementor layouts across all clients.

Integration with AI workflows

Once registered, the MCP server appears as a tool in Claude’s environment. The assistant can invoke its resources via natural language prompts, receiving structured responses that include the current state of a page or confirmation of a change. Because MCP follows a predictable request/response schema, developers can embed these calls into larger pipelines—such as generating a marketing copy, then immediately applying it to an Elementor section. The result is a seamless bridge between AI content creation and live website deployment.

Standout advantages

  • Zero‑code client experience – Developers need not write custom SDKs; the MCP server handles all communication details.
  • Security by design – Leveraging WordPress application passwords ensures that the server operates with least‑privilege access.
  • Extensibility – The open architecture allows future expansion to include additional Elementor features (e.g., dynamic tags, custom widgets) without breaking existing integrations.

In summary, the Elementor MCP Server empowers developers to harness AI assistants for efficient, secure, and repeatable manipulation of WordPress Elementor content, turning routine design tasks into programmable actions.