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WordPress MCP Server

MCP Server

AI-powered WordPress management via REST API

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Updated May 9, 2025

About

The WordPress MCP Server enables AI assistants to programmatically manage WordPress sites through the REST API. It offers tools for posts, users, comments, taxonomies, and custom endpoints, simplifying automation and integration.

Capabilities

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

WordPress MCP Server

The Prathammanocha WordPress MCP Server bridges the gap between AI assistants and the full breadth of a WordPress site by exposing the REST API through a Model Context Protocol interface. Developers who build conversational agents or automation scripts can now ask an AI to create, update, and delete posts, manage users and comments, or even query custom endpoints—all without writing bespoke API wrappers. This server turns a WordPress installation into a first‑class AI‑driven data source, enabling richer content workflows and dynamic site management directly from a chat interface.

At its core, the server translates MCP tool calls into authenticated HTTP requests to WordPress. Each tool—such as , , or —encapsulates a specific REST endpoint, handling authentication via application passwords and supporting pagination, filtering, and custom query parameters. The result is a clean, declarative API that lets AI assistants describe intent in natural language and receive precise, structured responses. For example, an assistant can ask to “publish a new draft about climate change” and the server will construct the appropriate POST request, returning the post ID and status in a JSON payload that the AI can incorporate into its next turn.

Key capabilities include comprehensive post, user, comment, and taxonomy management, allowing full CRUD operations on every standard WordPress resource. The server also exposes site information endpoints for retrieving configuration data, and a flexible custom request tool that lets developers target any REST route with arbitrary HTTP methods. Pagination support and advanced filtering (by author, status, or taxonomy) mean that large sites can be queried efficiently, while custom parameters give developers the power to tailor queries to niche plugins or bespoke endpoints.

Real‑world use cases abound: content marketers can let an AI generate and schedule posts based on keyword research; support teams can automate comment moderation or user account creation; developers can prototype new WordPress features by interacting with the site through conversational flows. In a continuous integration pipeline, an AI could trigger deployments or rollbacks by manipulating site settings through the MCP interface. The server’s tight coupling to WordPress REST ensures that any plugin or custom endpoint automatically becomes available, giving teams a future‑proof bridge between AI assistants and evolving site functionality.

What sets this MCP server apart is its developer‑friendly design: no custom code is required to integrate WordPress into an AI workflow, and the tool set mirrors the familiar REST structure of WordPress. By leveraging application passwords for secure authentication, it avoids exposing sensitive credentials while still granting granular control. The result is a powerful, extensible platform that empowers developers to harness the full potential of AI‑driven site management with minimal friction.