Luma MCP
Generate Luma Dream Machine videos in the AI Agent through MCP and query the task results.
Luma AI video generation service with text and image input.
This is only a basic call example. See the full docs for more parameters and advanced usage.
View DocsThis API can be used to query Luma's video generation tasks.
This API can generate videos by inputting prompt words and the first and last frame images.
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up to46% OFFGenerate Luma Dream Machine videos in the AI Agent through MCP and query the task results.
Configuration Method
Connect the current service in Claude Code:
mcpServers service entry below into .mcp.json in the project root directory, retaining the existing configuration.ACEDATACLOUD_API_TOKEN in the terminal: use export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN' on macOS/Linux, and $env:ACEDATACLOUD_API_TOKEN = 'YOUR_API_TOKEN' in Windows PowerShell; replace YOUR_API_TOKEN with your AceDataCloud API Token.claude in the same terminal where this variable has been set; new terminals or desktop-launched clients must also be able to read this variable./mcp to confirm that the service is connected and the tools have been loaded; when using the project configuration for the first time, check and approve the service as prompted.export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
claude mcp add --scope user --transport http 'luma-mcp' 'https://luma.mcp.acedata.cloud/mcp' --header 'Authorization: Bearer ${ACEDATACLOUD_API_TOKEN}'
Provide prompt words, image inputs, and task polling guidelines for the Luma Dream Machine video generation for AI Agent.
Install the current Skill to Claude Code. Project-level configurations are shared across the repository, while user-level configurations apply to all projects on this machine.
npx skills add acedatacloud/skills --skill 'luma-video' -a 'claude-code' --yes