# remotion-mcp-server

> remotion-mcp-server — dr-ashraf-s-mcp-labs-make-reels-with-claude. Use this tool when you need to automate the creation of branded social media videos from reference content, analyzing videos and generating new compositions as MP4 files. It solves the problem of manual video editing and branding for Instagram Reels and YouTube Shorts, taking in reference videos, transcripts, and frames as input. The output is a rendered MP4 file, making it ideal for social media content creators and marketers looking to streamline their video production workflow.

Canonical page: https://skillsregistry.net/skills/dr-ashraf-s-mcp-labs-make-reels-with-claude  
JSON: https://api.skillsregistry.net/v1/skills/dr-ashraf-s-mcp-labs-make-reels-with-claude

## Description

Enables Claude to analyze reference videos (download, transcripts, frames) and generate new branded Instagram Reels/YouTube Shorts as React/TSX compositions, rendered to MP4 via Remotion.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qwt21au7pa)
- **Repository:** <https://github.com/dr-ashraf-s-MCP-LABS/make-reels-with-claude>

## 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": "dr-ashraf-s-mcp-labs-make-reels-with-claude"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dr-ashraf-s-mcp-labs-make-reels-with-claude` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dr-ashraf-s-mcp-labs-make-reels-with-claude/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