@Runapi.Ai/Luma

RunAPI Luma MCP Server

Luma historical task access for AI agents: query existing tasks 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

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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.

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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.

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Tools

Tool	Auth	Purpose

| get_task | Yes | Fetch the current status and latest payload for an existing task. | | check_pricing | No | Returns no supported model because this model line is retired. |

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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.

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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.

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Configuration

The server resolves auth in this order:

1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
3. 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.

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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

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License

Licensed under the Apache License, Version 2.0.