# automad-mcp-server

> automad-mcp-server — cabroe-automad-mcp-server. Use this tool when you need to manage Automad v2 CMS resources, such as pages and media, from an AI agent. It provides a Model Context Protocol server that allows for standardized input/output operations over stdio, enabling seamless integration with AI workflows. Ideal for use cases requiring automated CMS management, data synchronization, and offline documentation access.

Canonical page: https://skillsregistry.net/skills/cabroe-automad-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cabroe-automad-mcp-server

## Description

Model Context Protocol server for the Automad v2 CMS — manage pages, media, shared data, config, local themes, and an offline docs KB from any AI agent over stdio.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/cabroe/automad-mcp-server)

## 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": "cabroe-automad-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cabroe-automad-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cabroe-automad-mcp-server/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