mcp server

luma-mcp

RunAPI Luma MCP server for querying historical tasks from Claude Code, Codex, Cursor, and VS Code.

runapi-ai/luma-mcpcommunitylistedunreviewed

Use tool

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

Node.js 20 or newer

~/Library/Application Support/Claude/claude_desktop_config.json

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

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 17, 2026

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 0 endpoints and 0 model variants 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.

luma-modify-video was retired on 2026-10-14T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.

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"]
    }
  }
}

No models in this package accept new tasks. check_pricing returns no supported model. For historical task lookup, 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 RUNAPI_API_KEY before starting the MCP host.

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

Tools

Tool	Auth	Purpose

Models

Luma covers 0 model variants across 0 endpoints. Each tool accepts the models listed for it:

Tool	Models

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

Agent Prompts

Query an existing task with get_task. New requests for this retired model return HTTP 410.

Check the status of my existing Luma task with RunAPI.

The assistant calls get_task with the task id and returns its status and available result.

Configuration

The server resolves auth in this order:

RUNAPI_API_KEY environment variable, useful for headless and CI hosts
~/.config/runapi/config.json, created by the MCP login tool or runapi login
No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.

Links

Resource	URL
Luma model page	https://runapi.ai/models/luma
npm package	@runapi.ai/luma-mcp
GitHub repository	runapi-ai/luma-mcp
RunAPI MCP overview	runapi.ai/mcp
RunAPI docs	runapi.ai/docs

License

Licensed under the Apache License, Version 2.0.