Integration

Runway integration

AI creative suite for video generation, editing, and visual effects. Generate videos from text or images, apply AI-powered editing, and create professional visual effects. Essential for filmmakers, content creators, and applications requiring advanced AI video capabilities.

Connect Runway How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Runway.Built from the 4 Runway tools below, on the connection you add once.

Common Runway use cases

Animate product photography for marketing
Clean up test and experimental generations
Monitor generation progress in async workflows
Create professional video content for commercials
Display real-time status indicators
Generate high-quality stock footage
Remove failed or unsatisfactory outputs
Create cinematic effects from still images
Manage storage quota limits
Retrieve videos for content delivery

What you can do with Runway

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

delete_generationDelete generationDELETEPermanently remove a video generation and all associated files from the platform.
generate_videoGenerate videoPOSTGenerate high-fidelity videos from text prompts using Runway's text-to-video models.
get_generationGet generationGETRetrieve the status, progress, and download URL of a video generation task.
image_to_videoImage to videoPOSTTransform static images into dynamic videos with realistic motion using Runway Gen-4.

Use Runway from Claude Code, Cursor or Codex

Connect Runway in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Runway operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Runway

Create your workspace
Sign up free. Nothing to install.
Connect Runway once
Add your Runway connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Runway integration FAQ

What can you do with the Runway integration?

LiveContext exposes 4 operations on Runway, covering video. Common uses include Animate product photography for marketing, Clean up test and experimental generations and Monitor generation progress in async workflows.