# content-repurposing-mcp

> content-repurposing-mcp — closermethod-content-repurposing-mcp. Use this tool when you need to efficiently adapt and distribute content across multiple platforms, solving the problem of manually reformatting and editing source assets for different social media channels. It takes in a source asset, such as a long video or blog post, and outputs optimized content for various platforms like TikTok, Reels, and Shorts. This enables a streamlined 'film-once-cut-many' workflow, saving time and effort in content creation and distribution.

Canonical page: https://skillsregistry.net/skills/closermethod-content-repurposing-mcp  
JSON: https://api.skillsregistry.net/v1/skills/closermethod-content-repurposing-mcp

## Description

Maps any source asset (e.g., long video, podcast, blog) to all platform formats (TikTok, Reels, Shorts, etc.) with per-platform adaptation rules, enabling a 'film-once-cut-many' content workflow.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e3bxcjgt9z)
- **Repository:** <https://github.com/closermethod/content-repurposing-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": "closermethod-content-repurposing-mcp"
    }
  }
}
```

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