# WordPress Author MCP Server

> Use this tool when you need to manage WordPress content using natural language commands, enabling AI assistants to draft, edit, and publish content while handling format conversions and permission enforcement. It solves content creation and management problems by mapping human intents to semantic operations, streamlining the content publishing process. Ideal for use cases where AI-driven content management is required, with inputs including natural language commands and outputs including published WordPress content.

Canonical page: https://skillsregistry.net/skills/aaronsb-wordpress-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aaronsb-wordpress-mcp

## Description

A personality-based MCP server that enables AI assistants to manage WordPress content through natural language by mapping human intents to semantic operations. It provides role-appropriate tools for drafting, editing, and publishing while handling transparent format conversions and native permission enforcement.

## Trust

- **Trust score (0–1):** 0.13
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p1ls1oh8bs)
- **Repository:** <https://github.com/aaronsb/wordpress-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aaronsb-wordpress-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aaronsb-wordpress-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aaronsb-wordpress-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt