Luma AI MCP Server 🎥

Name: Luma AI MCP Server 🎥
Author: bobtista

@bobtista

代码仓库

关于 Luma AI MCP Server 🎥

暂无概览

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

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

bobtista

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Luma AI MCP Server?

The Luma AI MCP Server integrates with Luma AI’s Dream Machine API (v1) to provide tools for generating, managing, and manipulating AI‑generated videos and images through Large Language Models. It enables AI assistants like Claude Desktop to create videos, images, and advanced animations without leaving the chat interface.

How to use Luma AI MCP Server?

Obtain a Luma API key from Luma AI, then configure the server in your Claude Desktop configuration file (e.g., claude_desktop_config.json) by specifying the path to the server and setting the LUMA_API_KEY environment variable. Once set up, use tools like create_generation, get_generation, list_generations, upscale_generation, add_audio, generate_image, get_credits, and get_camera_motions directly in conversations.

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 and video upscaling
Credit management and generation tracking

Use cases of Luma AI MCP Server

Generate videos from a text description (e.g., “a cat playing piano”)
Convert a static image into an animated video
Extend or interpolate between two existing videos using keyframes
Add AI‑generated audio to a completed video generation
Upscale a finished video to a higher resolution (e.g., 1080p → 4K)

FAQ from Luma AI MCP Server

What API does the server use?

It uses Luma AI’s Dream Machine API (v1). A valid Luma API key must be set in the LUMA_API_KEY environment variable.

What video models and resolutions are supported?

Video models: ray-2 (default, best quality), ray-flash-2 (faster), and ray-1-6 (legacy). Resolutions: 540p, 720p, 1080p, 4k. Only durations of 5s or 9s are supported.

Can I upscale any video?

Only completed video generations can be upscaled, the target resolution must be higher than the original, and each generation can be upscaled only once.

What are the generation states?

Generations progress through queued, dreaming, completed, and failed. You can check status using the get_generation tool.

How is the server invoked?

The server runs via uv as an MCP‑compliant CLI command, configured in the host application’s MCP settings file (e.g., Claude Desktop’s claude_desktop_config.json).

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