# content-studio

> content-studio — mattioofr-content-studio. Use this tool when you need to manage and streamline content creation workflows, solving problems such as disorganized content ideas and inefficient editing processes. It enables AI agents to input content ideas, channels, personas, and drafts, and outputs approved and edited content through an approval-based interface. Ideal for use in content-heavy projects requiring collaborative and structured content management.

Canonical page: https://skillsregistry.net/skills/mattioofr-content-studio  
JSON: https://api.skillsregistry.net/v1/skills/mattioofr-content-studio

## Description

MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ufd3y6mrvo)
- **Repository:** <https://github.com/MattiooFR/content-studio>

## 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": "mattioofr-content-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mattioofr-content-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mattioofr-content-studio/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