Luma’s API MCP example exposes image and video generation with prompts, aspect ratios and reference inputs through a local Python server.
Luma’s API MCP example exposes image and video generation with prompts, aspect ratios and reference inputs through a local Python server.
The server implements create_image and create_video. Image requests can supply image, style, character and modification references; video requests can specify keyframes, loop behaviour, duration and resolution. Supported values follow the implementation and the models available to the account.
The repository documents obtaining a Luma API key and using its setup script to configure the client. Review that script and the generated local configuration before launching the server. This is a source example using the Python MCP SDK, not a universal hosted Luma MCP URL. Keep compatible SDK dependencies when using the example's FastMCP imports.
Begin with a short prompt and one supported output setting. Inspect the returned image or video, then test a reference input separately so its effect is clear. Generation can take longer than a simple text tool call. Model availability, request validation and charges come from the Luma API; the example's defaults are not a promise that every future model option is supported.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| create_image | Generate a Luma image with prompt and optional reference inputs. |
| create_video | Generate a Luma video with prompt and optional keyframes. |
Python 3.10 or later, compatible project dependencies, a Luma API key and the repository’s reviewed setup configuration.
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