# io.github.AceDataCloud/mcp-luma

> Use this tool when you need to generate AI videos with the Luma Dream Machine, as it provides a server for managing and processing video creation tasks. It solves problems related to automated video production, such as streamlining content generation and reducing manual editing time. The tool accepts input parameters for video customization and outputs generated video content.

Canonical page: https://skillsregistry.net/skills/io-github-acedatacloud-mcp-luma  
JSON: https://api.skillsregistry.net/v1/skills/io-github-acedatacloud-mcp-luma

## Description

MCP server for Luma Dream Machine AI video generation

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 2026.3.19.7
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.AceDataCloud%2Fmcp-luma)
- **Repository:** <https://github.com/AceDataCloud/LumaMCP>

## Use it

MCP endpoint published by the skill: `https://luma.mcp.acedata.cloud/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": "io-github-acedatacloud-mcp-luma"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-acedatacloud-mcp-luma` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-acedatacloud-mcp-luma/pull`

---
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