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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. 56 installs a week from npm. Last commit 13 Sep 2026.

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

Installs per day peak 18 · avg 9 · +56% w/w
a month agotoday
56
Installs / week
npm · @mindstone/mcp-server-runway
12
Stars
1 open issues
13 Sep 2026
Last commit
0 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 -- npx -y @mindstone/mcp-server-runway
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server-runway": {
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "command": "npx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-server-runway]
command = "npx"
args = ["-y", "@mindstone/mcp-server-runway"]
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server-runway": {
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "command": "npx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-server-runway": {
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "command": "npx"
    }
  }
}

This one needs environment variables set before it will start: RUNWAYML_API_SECRET (Runway API key (from dev.runwayml.com)), 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.). The author declared them in the registry entry; get the values from the project itself.

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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 56 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 with the file path 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 56 times in the last week. Week over week that is +56%. 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, 12 stars on GitHub and 1 open issue, but we could not determine the licence, and without one the code is not open source by default.