mcpField
R
Runway AI Video Generation

Runway AI Video Generation

Local
github.com/sidart10Media & Design
Repository

About Runway AI Video Generation

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

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "sidart10-runway": {
      "command": "uvx",
      "args": [
        "runway-mcp-server"
      ],
      "env": {
        "RUNWAY_API_KEY": "<RUNWAY_API_KEY>"
      }
    }
  }
}
Run commanduvx runway-mcp-server
Environment variables to set
RUNWAY_API_KEYSecretAPI key from dev.runwayml.com for authenticating with Runway ML services

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypirunway-mcp-server0.1.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.