# Contentrain

> Use this tool when you need to manage and govern content locally, with features like content modeling, CRUD operations, and validation rules. It solves problems related to content consistency, localization, and data integrity, and provides outputs like validated and standardized content. Ideal for use cases requiring flexible and scalable content management, integrated with the Contentrain headless CMS platform.

Canonical page: https://skillsregistry.net/skills/contentrain-1  
JSON: https://api.skillsregistry.net/v1/skills/contentrain-1

## Description

Provides local-first content governance capabilities including content model management, content CRUD operations, validation rules, and internationalization support. Integrates with the Contentrain headless CMS platform.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/contentrain-1)
- **Repository:** <https://github.com/contentrain/ai>

## 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": "contentrain-1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/contentrain-1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/contentrain-1/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