# Directus Content MCP Server

> Use this tool when you need to manage and interact with your Directus data using natural language, enabling content editors and data analysts to perform data operations and query collections with ease. It solves problems of data accessibility and complexity by allowing users to use everyday language to retrieve and manipulate data. The tool takes natural language inputs and returns relevant data outputs, making it ideal for use cases where simplicity and ease of use are crucial.

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

## Description

Enables Directus users to interact with their data in LLMs, allowing content editors and data analysts to manage content, query collections, and perform data operations using natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

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

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