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Runway AI Video Generation MCP Server

local only

Runway AI Video Generation runs on your own machine — the client starts it, so there is no endpoint to ping. 93 installs a week from pypi.

AI video generation with Gen-4, Veo 3, and Aleph editing. Text-to-video, image-to-video, 4K upscale

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 29 · avg 12 · -4% w/w
a month agotoday
93
Installs / week
pypi · runway-mcp-server
—
Stars
on GitHub
—
Last commit
from GitHub
—
License
language unknown

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

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 runway-mcp-server -e 'RUNWAY_API_KEY=<RUNWAY_API_KEY>' -- uvx runway-mcp-server
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "runway-mcp-server": {
      "command": "uvx",
      "args": [
        "runway-mcp-server"
      ],
      "env": {
        "RUNWAY_API_KEY": "<RUNWAY_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.runway-mcp-server]
command = "uvx"
args = ["runway-mcp-server"]
env = { RUNWAY_API_KEY = "<RUNWAY_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "runway-mcp-server": {
      "command": "uvx",
      "args": [
        "runway-mcp-server"
      ],
      "env": {
        "RUNWAY_API_KEY": "<RUNWAY_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "runway-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "runway-mcp-server"
      ],
      "env": {
        "RUNWAY_API_KEY": "<RUNWAY_API_KEY>"
      }
    }
  }
}

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

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Runway AI Video Generation — questions

Answers built from our own checks of this server.

Why is there no uptime for Runway AI Video Generation?
Runway AI Video Generation 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 pypi package runway-mcp-server was installed 93 times last week.
Is Runway AI Video Generation still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Runway AI Video Generation?
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 runway-mcp-server straight from pypi; nothing to host, nothing to sign up for.
How many people use Runway AI Video Generation?
The pypi package runway-mcp-server was installed 93 times in the last week. Week over week that is -4%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.