# Re:Earth CMS

> Use this tool when you need to manage content, projects, and spatial data in a headless CMS, or automate workflows involving content creation, asset management, and collaboration. It provides a programmatic interface to Re:Earth CMS, supporting CRUD operations, asset management, and data export in various formats. Ideal for use cases requiring automated content management, spatial data handling, and collaborative content creation without manual interface navigation.

Canonical page: https://skillsregistry.net/skills/reearth-cms  
JSON: https://api.skillsregistry.net/v1/skills/reearth-cms

## Description

Provides comprehensive integration with Re:Earth CMS, a headless content management system, enabling management of projects, models, items, assets, groups, and comments through the CMS integration API. Built in Go using generated API clients from OpenAPI specifications, it supports full CRUD operations on content items with field-level manipulation, asset management with publish/unpublish capabilities, comment threading, and data export in CSV and GeoJSON formats. Designed for content management workflows, spatial data handling, and collaborative content creation where users need to programmatically interact with CMS resources without manual interface navigation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

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