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Runway ML MCP Server

local only

Runway ML runs on your own machine — the client starts it, so there is no endpoint to ping. 65 installs a week from npm. Last commit 2 Nov 2026.

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

Installs per day peak 23 · avg 7 · +67% w/w
a month agotoday
65
Installs / week
npm · @mindstone/mcp-server-runway
14
Stars
2 open issues
2 Nov 2026
Last commit
2 releases in 90 days
—
License
TypeScript

Nothing serious here today

Today is the operative word: we check Runway ML every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add mcp-server-runway -e 'RUNWAYML_API_SECRET=<RUNWAYML_API_SECRET>' -- npx -y @mindstone/mcp-server-runway
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server-runway": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "env": {
        "RUNWAYML_API_SECRET": "<RUNWAYML_API_SECRET>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-server-runway]
command = "npx"
args = ["-y", "@mindstone/mcp-server-runway"]
env = { RUNWAYML_API_SECRET = "<RUNWAYML_API_SECRET>" }
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server-runway": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "env": {
        "RUNWAYML_API_SECRET": "<RUNWAYML_API_SECRET>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-server-runway": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "env": {
        "RUNWAYML_API_SECRET": "<RUNWAYML_API_SECRET>"
      }
    }
  }
}

Put your own value in place of <RUNWAYML_API_SECRET> (Runway API key (from dev.runwayml.com)). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: RUNWAY_REQUEST_TIMEOUT_MS (Outbound HTTP request timeout in milliseconds (max 1800000)), RUNWAY_UPLOAD_TIMEOUT_MS (Signed-URL upload timeout for large local files in milliseconds), RUNWAY_ALLOWED_ROOT (Sandbox root for local-file inputs to upload tools. Defaults to os.tmpdir()), RUNWAY_DOWNLOAD_ROOT (Sandbox root for downloaded outputs. Defaults to ~/Downloads/runway-mcp).

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Runway ML — questions

Answers built from our own checks of this server.

Why is there no uptime for Runway ML?
Runway ML runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package @mindstone/mcp-server-runway was installed 65 times last week.
How do I connect Runway ML?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls @mindstone/mcp-server-runway straight from npm; nothing to host, nothing to sign up for.
How many people use Runway ML?
The npm package @mindstone/mcp-server-runway was installed 65 times in the last week. Week over week that is +67%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Runway ML open source?
We cannot say either way: written in TypeScript, 14 stars on GitHub and 2 open issues, but we could not determine the licence, and without one the code is not open source by default.