# Compeller

> Use this tool when you need to create immersive audio-visual experiences, such as AI-generated music videos or live visuals for concerts and events. The Compeller tool solves problems of manual video editing and visual effects creation by automating the process of generating visuals that react to music. It takes song files as input and outputs synchronized music videos and audio-reactive visuals.

Canonical page: https://skillsregistry.net/skills/ai-compeller-compel  
JSON: https://api.skillsregistry.net/v1/skills/ai-compeller-compel

## Description

Create and track AI music videos and audio-reactive visuals from songs.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 0.5.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.compeller%2Fcompel)
- **Repository:** <https://github.com/yakoob/compeller.ai>

## Use it

MCP endpoint published by the skill: `https://compeller.ai/api/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-compeller-compel"
    }
  }
}
```

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