# Directus MCP Server

> Use this tool when you need to manage and interact with Directus instances programmatically, enabling schema manipulation, content creation, and dashboard management. It solves problems related to data modeling, content management, and workflow automation, providing a comprehensive interface for CRUD operations and relations management. Ideal for use cases requiring automated data interaction and workflow optimization, it accepts inputs via the official Directus SDK and outputs managed data and instance configurations.

Canonical page: https://skillsregistry.net/skills/skeyelab-directus-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/skeyelab-directus-mcp-server

## Description

Enables comprehensive management of Directus instances through tools for schema manipulation, content CRUD operations, and dashboard management. It allows AI assistants to programmatically interact with collections, fields, relations, and workflow automation using the official Directus SDK.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jqezcfv8kz)
- **Repository:** <https://github.com/Skeyelab/directus-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": "skeyelab-directus-mcp-server"
    }
  }
}
```

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