Luma MCP

AI Video Generation with Luma Dream Machine - Generate and extend videos via Ace Data Cloud API

This extension provides a Model Context Protocol (MCP) server for VS Code, enabling AI assistants like GitHub Copilot to interact with Luma Dream Machine directly.

Features

• 8 tools available for AI assistants
• Zero-install: Uses uvx for automatic package management
• Works with GitHub Copilot, Claude, and other MCP-compatible AI assistants

Prerequisites

1. Python 3.10+ with uvx (from uv) installed
2. Ace Data Cloud API Token — Get one at platform.acedata.cloud

Setup

1. Install this extension from the VS Code Marketplace
2. When prompted, enter your Ace Data Cloud API token
3. The MCP server will be available to AI assistants automatically

You can also manually configure the token in your VS Code settings (.vscode/mcp.json):

{
  "servers": {
    "luma": {
      "command": "uvx",
      "args": ["mcp-luma"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-token-here"
      }
    }
  }
}

Links

• PyPI Package
• Source Code
• Ace Data Cloud Platform
• API Documentation

License

MIT