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Luma AI MCP Server

Communityby Community (bobtista)paidverified Jun 11, 2026

Dream Machine API in MCP form: Ray 2 video, Photon images, extend and interpolate.

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What it does

Community Python server for Luma's Dream Machine API v1: text/image-to-video on ray-2 and ray-flash-2, video extension and interpolation, Photon image generation, upscaling, audio addition and credit checks. Luma has no official MCP, so this is the main direct-API option.

Connect

Claude Code
claude mcp add luma -- uv run --project /path/to/luma-ai-mcp-server -m luma_ai_mcp_server
Claude Desktop (claude_desktop_config.json)
{
  "mcpServers": {
    "luma": {
      "command": "uv",
      "args": [
        "run",
        "--project",
        "/path/to/luma-ai-mcp-server",
        "-m",
        "luma_ai_mcp_server"
      ],
      "env": {
        "LUMA_API_KEY": "YOUR_KEY_HERE"
      }
    }
  }
}
Cursor (.cursor/mcp.json)
{
  "mcpServers": {
    "luma": {
      "command": "uv",
      "args": [
        "run",
        "--project",
        "/path/to/luma-ai-mcp-server",
        "-m",
        "luma_ai_mcp_server"
      ],
      "env": {
        "LUMA_API_KEY": "YOUR_KEY_HERE"
      }
    }
  }
}
Auth: api_key · env LUMA_API_KEY — https://lumalabs.ai/dream-machine/api

Tools you'll see

create_generationget_generationlist_generationsupscale_generationadd_audiogenerate_imageget_creditsget_camera_motions

Field notes

MIT but tiny (6 stars) — functional rather than polished; runs from a cloned repo via uv. Luma Ray models are also reachable through fal, Replicate, Runway and PiAPI hub MCPs.

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