Luma MCP server

RunAPI Luma MCP Server

Luma API access for AI agents: run video generation operations, poll asynchronous results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

Install | Tools | Models | Agent Prompts | Configuration | Links

Why This Package?

@runapi.ai/luma-mcp is a focused Model Context Protocol server for the Luma model line on RunAPI. It gives MCP-compatible assistants direct access to 1 endpoint and 1 model variant without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Luma. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.

Install

Add it to Claude Code:

claude mcp add luma -s user -- npx -y @runapi.ai/luma-mcp

Use project scope when the server should be shared with a repository:

claude mcp add luma -s project -- npx -y @runapi.ai/luma-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "luma": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/luma-mcp"]
    }
  }
}

checkpricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPIAPI_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.

Tools

Models

Luma covers 1 model variant across 1 endpoint. Each tool accepts the models listed for it:

Model availability can change between releases. Use check_pricing or the Luma model page for the current catalog view.

Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a Luma modify video task with RunAPI.

The assistant can call checkpricing, then modifyvideo, and return the task id, status, and output URLs.

Submit without waiting

Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

Shortened. The full README is on GitHub.