# elementeer

> elementeer — elementeer-elementeer. Use this tool when you need to automate and scale Elementor sites with AI agents, connecting and streamlining workflows through a WordPress plugin and MCP server. It solves problems of manual site management and optimization, allowing for seamless integration with AI agents. Ideal for use cases requiring efficient Elementor site growth and automation, with inputs including site data and AI agent commands, and outputs of optimized site performance and scaled growth.

Canonical page: https://skillsregistry.net/skills/elementeer-elementeer  
JSON: https://api.skillsregistry.net/v1/skills/elementeer-elementeer

## Description

The agent-native Elementor growth layer — connect, automate, and scale Elementor sites with AI agents. WordPress plugin + MCP server.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/elementeer/elementeer)

## 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": "elementeer-elementeer"
    }
  }
}
```

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