The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Luma API MCP
Powered by Ray (video) and Photon (image) models by Luma AI
Install
$
git clone https://github.com/lumalabs/luma-api-mcpInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Luma API MCP
Setup
- Install Claude Desktop App or any MCP client
- Get API Key from https://lumalabs.ai/api/keys
- Run
sh setup.sh, here it will ask the API Key - paste it from 2.
Run
Open Claude Desktop or any MCP client
Features
Create Image
prompt: textaspect_ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "21:9", "9:21" (default: "16:9")model: "photon-1", "photon-flash-1" (default: "photon-1")image_ref: list of image URLs with weights to influence generation (optional), max 8style_ref: single image URL with weight to influence style (optional), max 1character_ref: list of character image URLs (optional), max 4modify_image_ref: single image URL to modify with weight (optional), max 1
Create Video
prompt: textaspect_ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "21:9", "9:21" (default: "16:9")model: "ray-2", "ray-flash-2", "ray-1-6" (default: "ray-2")loop: boolean (default: false)resolution: "540p", "720p", "1080p", "4k" (default: "720p")duration: "5s", "9s" (default: "5s")frame0_image: image URL (optional)frame1_image: image URL (optional)frame0_id: generation ID (optional)frame1_id: generation ID (optional)
Technical Notes
- Keyframes: Providing frame0_image/frame1_image gives more control over video start/end points
- Video Response Time: Typical video generation takes 15-60 seconds depending on duration and resolution
- Image Response Time: Typical generation takes 5-15 seconds depending on model complexity
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