Luma AI MCP Server 🎥

Name: Luma AI MCP Server 🎥
Author: MCP-Mirror

@MCP-Mirror

リポジトリ

Luma AI MCP Server 🎥 について

Mirror of

#luma-ai #video-generation #ai-tools

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

MCP-Mirror

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "luma": {
      "command": "uv",
      "args": [
        "run",
        "--project",
        "/path/to/your/luma-ai-mcp-server",
        "-m",
        "luma_ai_mcp_server"
      ],
      "env": {
        "LUMA_API_KEY": "your-luma-api-key-here"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Luma AI MCP Server?

An MCP server that integrates with Luma AI's Dream Machine API (v1) to let AI assistants generate, manage, and manipulate AI-generated videos and images. It is intended for developers and users who want to control Luma's creative tools through LLMs like Claude.

How to use Luma AI MCP Server?

Obtain a Luma API key from Luma AI, then add the server configuration to your Claude Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). Use uv run --project /path/to/server -m luma_ai_mcp_server as the command, and set the LUMA_API_KEY environment variable. After restarting Claude Desktop, the tools become available.

Key features of Luma AI MCP Server

Text-to-video generation
Advanced video generation with keyframes
Image-to-video conversion
Video extension and interpolation
Image generation with reference images
Audio addition to videos
Video upscaling
Credit management and generation status tracking

Use cases of Luma AI MCP Server

Create short AI-generated videos from text prompts
Extend or interpolate between existing videos using keyframes
Upscale a completed video to a higher resolution
Add AI-generated audio to a video based on a description
Generate images with character or style references

FAQ from Luma AI MCP Server

What does the Luma AI MCP Server do?

It provides a set of tools that allow an AI assistant to call Luma AI's Dream Machine API to generate, check status, upscale, add audio to, and delete video generations, as well as generate images and manage credits.

What are the runtime dependencies?

The server requires Python with uv and a valid Luma API key set as the LUMA_API_KEY environment variable. It communicates over MCP standard input/output (stdio) as configured for Claude Desktop.

Where are generated videos and images stored?

The API returns URLs pointing to the generated content on Luma's servers. The server itself does not store files locally.

What are the limitations of video generation?

Supported durations are only "5s" or "9s". Each completed generation can be upscaled only once, and the target resolution must be higher than the original. Valid resolutions are 540p, 720p, 1080p, and 4k.

How does the server communicate with the client?

It uses the Model Context Protocol (MCP) over standard input/output (stdio). The server is invoked via a command-line tool (uv run) and receives/sends JSON messages.