# ai.uxbert/cms

> ai.uxbert/cms — ai-uxbert-cms. Use this tool when you need to manage and publish bilingual content across multiple platforms. It solves problems related to content creation, media management, and delivery verification, providing a headless CMS solution for modeling, writing, and publishing content. With inputs for content and media, and outputs for published content and delivery checks, it's ideal for use cases requiring streamlined content management and publishing workflows.

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

## Description

UXBERT Labs headless CMS: model, write and publish bilingual content, media, delivery checks.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.uxbert%2Fcms)

## Use it

MCP endpoint published by the skill: `https://cms-mcp.uxbert.ai/mcp`

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": "ai-uxbert-cms"
    }
  }
}
```

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