# Directus CMS

> Use this tool when you need to integrate AI assistants with a headless CMS for seamless content management, providing a bridge for operations like creating, updating, and deleting items. It solves problems related to AI-assisted content workflows, headless CMS integration, and system information management. The tool accepts authentication inputs like access tokens or email/password login and outputs managed content, system data, and user information through a comprehensive API.

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

## Description

Directus MCP Server provides a bridge between AI assistants and Directus headless CMS through a comprehensive set of API tools. This TypeScript implementation enables content management operations including retrieving, creating, updating, and deleting items from collections, as well as accessing system information, user management, file operations, and schema exploration. The server supports authentication via access tokens or email/password login, with configuration possible through environment variables or command-line arguments, making it particularly useful for AI-assisted content management workflows and headless CMS integration.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pixelsock-directus)
- **Repository:** <https://github.com/pixelsock/directus-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": "pixelsock-directus"
    }
  }
}
```

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