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WordPress MCP Integration

MCP Server

MCP-powered WordPress post management

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Updated Apr 30, 2025

About

A lightweight Model Context Protocol server that enables creating, retrieving, and updating WordPress posts via the REST API using MCP tools.

Capabilities

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

WordPress MCP Integration

The WordPress MCP Integration is a lightweight, TypeScript‑based server that bridges AI assistants with WordPress sites through the Model Context Protocol (MCP). By exposing a set of simple, well‑defined tools—create_post, get_posts, and update_post—the server lets an AI client perform common content‑management tasks without needing to write custom code or handle the intricacies of WordPress’s REST API. This solves a key pain point for developers and content teams: the friction of integrating AI workflows into existing WordPress pipelines while keeping authentication, rate limits, and data formatting transparent.

At its core, the server translates MCP tool calls into authenticated HTTP requests to WordPress’s REST endpoints. It accepts credentials either via environment variables or inline request parameters, ensuring flexibility for both development and production environments. The use of WordPress application passwords adds a security layer, allowing the AI to operate with scoped permissions rather than full user accounts. This design choice protects sensitive content and aligns with best practices for third‑party integrations.

Key capabilities include:

  • Post Creation: Generate new posts with a specified title, content, and status (draft, publish, private).
  • Post Retrieval: Fetch a paginated list of posts, supporting optional per‑page limits and page numbers.
  • Post Updating: Modify existing posts by ID, changing title, content, or status as needed.

These operations are exposed through the MCP tool interface, meaning any AI assistant that understands MCP can invoke them with a single JSON‑RPC call. The server handles all HTTP communication, error handling, and response formatting, delivering clean, predictable results back to the AI.

Real‑world scenarios abound: a content strategist can ask an assistant to draft and publish a blog post, a marketing team can retrieve recent posts for analysis, or an editor can update headlines on the fly. In continuous‑delivery pipelines, automated scripts could trigger post updates after deployment events or content reviews. Because the server runs on stdio by default and can be bound to any port, it integrates seamlessly into containerized environments or local development stacks.

What sets this MCP server apart is its focused scope and security posture. By limiting functionality to core WordPress content operations, it reduces surface area for bugs or misuse. The optional environment‑variable configuration streamlines deployment in CI/CD workflows, while the request‑parameter option allows temporary overrides for testing or single‑use scripts. Overall, the WordPress MCP Integration empowers developers and AI practitioners to weave dynamic content creation into their workflows with minimal friction and maximum safety.