# Runway

> Use this tool when you need to create and edit visual content, such as videos and images, using generative AI capabilities. It solves problems like generating marketing materials, producing video content from text descriptions, and editing images, by providing direct access to tools like text-to-image generation and video upscaling. The tool accepts inputs like text descriptions and reference images, and outputs generated media URLs, making it ideal for AI assistants that require automated visual content creation.

Canonical page: https://skillsregistry.net/skills/runwayml-runway-api  
JSON: https://api.skillsregistry.net/v1/skills/runwayml-runway-api

## Description

Runway API MCP Server provides AI assistants with direct access to Runway's generative AI capabilities for creating and editing videos and images. Built with TypeScript and the Model Context Protocol SDK, it exposes seven tools including text-to-image generation, image-to-video conversion, video upscaling, video editing with Runway Aleph, task management, and organization billing information retrieval. The implementation uses async task polling to handle Runway's processing workflow, automatically waiting for completion and returning generated media URLs, making it valuable for AI assistants that need to create visual content, generate marketing materials, or produce video content from text descriptions and reference images.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/runwayml-runway-api)
- **Repository:** <https://github.com/runwayml/runway-api-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "runwayml-runway-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/runwayml-runway-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/runwayml-runway-api/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt