Luma AI MCP Server

@bobtista

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其他

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bobtista

关于 Luma AI MCP Server

暂无概览

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

Luma AI MCP Server 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"
      }
    }
  }
}

Luma AI MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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)

常见问题

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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