Runway ML

local MCP server

Installation

Terminal

claude mcp add mcp-server-runway -e RUNWAYML_API_SECRET=... -e RUNWAY_REQUEST_TIMEOUT_MS=... -e RUNWAY_UPLOAD_TIMEOUT_MS=... -e RUNWAY_ALLOWED_ROOT=... -e RUNWAY_DOWNLOAD_ROOT=... -- npx -y @mindstone/mcp-server-runway

Run in your project folder. Add --scope user to use it everywhere.

Claude Desktop, Cursor & other clients

Add to claude_desktop_config.json or .cursor/mcp.json.

{
  "mcpServers": {
    "mcp-server-runway": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "env": {
        "RUNWAYML_API_SECRET": "...",
        "RUNWAY_REQUEST_TIMEOUT_MS": "...",
        "RUNWAY_UPLOAD_TIMEOUT_MS": "...",
        "RUNWAY_ALLOWED_ROOT": "...",
        "RUNWAY_DOWNLOAD_ROOT": "..."
      }
    }
  }
}

Fill in the environment variables with your own credentials.

Summary

Runway ML MCP server: AI video, image, audio, voice generation, and task management

Questions

Runway ML is a local MCP server distributed as the npm package @mindstone/mcp-server-runway.

Run: claude mcp add mcp-server-runway -e RUNWAYML_API_SECRET=... -e RUNWAY_REQUEST_TIMEOUT_MS=... -e RUNWAY_UPLOAD_TIMEOUT_MS=... -e RUNWAY_ALLOWED_ROOT=... -e RUNWAY_DOWNLOAD_ROOT=... -- npx -y @mindstone/mcp-server-runway

Run: codex mcp add mcp-server-runway --env RUNWAYML_API_SECRET=... --env RUNWAY_REQUEST_TIMEOUT_MS=... --env RUNWAY_UPLOAD_TIMEOUT_MS=... --env RUNWAY_ALLOWED_ROOT=... --env RUNWAY_DOWNLOAD_ROOT=... -- npx -y @mindstone/mcp-server-runway

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