@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that integrates with Luma AI's Dream Machine API (v1) to let AI assistants generate, manage, and manipulate AI-generated videos and images. It is intended for developers and users who want to control Luma's creative tools through LLMs like Claude.
Obtain a Luma API key from Luma AI, then add the server configuration to your Claude Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). Use uv run --project /path/to/server -m luma_ai_mcp_server as the command, and set the LUMA_API_KEY environment variable. After restarting Claude Desktop, the tools become available.
It provides a set of tools that allow an AI assistant to call Luma AI's Dream Machine API to generate, check status, upscale, add audio to, and delete video generations, as well as generate images and manage credits.
The server requires Python with `uv` and a valid Luma API key set as the `LUMA_API_KEY` environment variable. It communicates over MCP standard input/output (stdio) as configured for Claude Desktop.
The API returns URLs pointing to the generated content on Luma's servers. The server itself does not store files locally.
Supported durations are only "5s" or "9s". Each completed generation can be upscaled only once, and the target resolution must be higher than the original. Valid resolutions are 540p, 720p, 1080p, and 4k.
It uses the Model Context Protocol (MCP) over standard input/output (stdio). The server is invoked via a command-line tool (`uv run`) and receives/sends JSON messages.
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