# Runway

```json
{
  "name": "Runway",
  "slug": "runway",
  "url": "https://composio.dev/toolkits/runway",
  "markdown_url": "https://composio.dev/toolkits/runway.md",
  "logo_url": "https://logos.composio.dev/api/runway",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:33:58.084Z"
}
```

![Runway logo](https://logos.composio.dev/api/runway)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Runway MCP or direct API to generate videos, transform images, create media assets, and automate creative workflows through natural language.

## Summary

Runway is a generative AI media platform for creating and transforming video, images, audio, avatars, voices, and creative workflows.
It helps teams build high-quality visual content faster with API-driven media generation.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 22

## Images

- Logo: https://logos.composio.dev/api/runway

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Runway.
  - Setup:
    - Configure Api Key credentials for Runway.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Generate product teaser videos from prompts
- Animate brand images into short clips
- Create cinematic backgrounds for ads

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `RUNWAY_CANCEL_TASK` | Cancel Task | Cancel a running Runway task or delete its task record. Returns success only when Runway confirms the operation; an already absent task remains a 404 error. |
| `RUNWAY_CREATE_DOCUMENT` | Create Document | Create a Runway knowledge document from markdown or plain text for reuse by avatar workflows. |
| `RUNWAY_CREATE_EPHEMERAL_UPLOAD` | Create Ephemeral Upload | Create only a temporary Runway media upload slot and return its presigned multipart form details and runway:// URI. This action does not upload file bytes; POST them separately to upload_url using fields before using runway_uri. |
| `RUNWAY_DELETE_DOCUMENT` | Delete Document | Permanently delete a Runway knowledge document by its ID. |
| `RUNWAY_GENERATE_IMAGE` | Generate Image | Start a Runway text-to-image or reference-guided image generation task and return its task ID and estimated credit cost. |
| `RUNWAY_GENERATE_SOUND_EFFECT` | Generate Sound Effect | Generate an audio effect from a text prompt and return the task ID and estimated credit cost. |
| `RUNWAY_GENERATE_SPEECH` | Generate Speech | Synthesize speech with Runway using an exact model-specific voice and option contract, then return the task ID and estimated credit cost. |
| `RUNWAY_GENERATE_VIDEO_FROM_IMAGE` | Generate Video from Image | Animate one or more input images with a selected Runway model and return the task ID and estimated credit cost. |
| `RUNWAY_GENERATE_VIDEO_FROM_TEXT` | Generate Video from Text | Start a Runway text-to-video task with a model-specific typed request and return its task ID and estimated credit cost. |
| `RUNWAY_GET_DOCUMENT` | Get Document | Get one Runway knowledge document, including its full content and the avatars that currently use it. |
| `RUNWAY_GET_ORGANIZATION` | Get Organization | Return the connected Runway organization's credit balance, monthly credit spend cap, exact per-model quotas, and current daily generation usage. |
| `RUNWAY_GET_TASK` | Get Task | Get the current status, cost, output URLs, and failure details for a Runway generation task. Runway does not update a task more often than every five seconds. |
| `RUNWAY_GET_USAGE` | Get Usage | Return daily Runway credit usage by model for an optional UTC date range of up to 90 days. |
| `RUNWAY_GET_WORKFLOW` | Get Workflow | Get a published Runway workflow version and its graph so node IDs and output keys can be inspected before running the workflow. |
| `RUNWAY_GET_WORKFLOW_INVOCATION` | Get Workflow Invocation | Get the current status, completed node output URLs, and node or invocation failure details for a Runway workflow invocation. |
| `RUNWAY_LIST_DOCUMENTS` | List Documents | List Runway knowledge documents one page at a time, with sorting and an opaque continuation cursor. List results omit full document content. |
| `RUNWAY_LIST_WORKFLOWS` | List Workflows | List the connected account's published Runway workflows and their available versions, ordered as returned by Runway. |
| `RUNWAY_RUN_WORKFLOW` | Run Workflow | Invoke a published Runway workflow, optionally overriding graph node outputs, and return the created workflow invocation ID. |
| `RUNWAY_TRANSFORM_VIDEO` | Transform Video | Transform or restyle an existing video with Runway and return the created task ID and estimated credit cost. |
| `RUNWAY_UPDATE_DOCUMENT` | Update Document | Change the name, content, or both for an existing Runway knowledge document. Provide at least one of name or content. |
| `RUNWAY_UPSCALE_IMAGE` | Upscale Image | Start a Runway image upscaling task and return its task ID and estimated credit cost. |
| `RUNWAY_UPSCALE_VIDEO` | Upscale Video | Start a Runway video upscaling task and return its task ID and estimated credit cost. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Runway Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Runway actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Generate a 5-second Runway video of a futuristic city skyline at sunset'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Generate a 5-second Runway video of a futuristic city skyline at sunset'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Runway
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Runway tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Create a Runway image-to-video animation from my product photo')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Create a Runway image-to-video animation from my product photo'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Runway Integration

- Supports both Runway MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable video, image, audio, and media workflow execution
- Rich coverage for generating, transforming, and querying Runway media jobs without custom glue code

### 2. Managed Auth

- Bring your own Runway API key and keep it out of agent prompts and app code
- Use auth_configs.create() and connected_accounts.link() to manage Runway credentials per user or environment
- Composio handles secure credential storage and API request handling for Runway actions

### 3. Agent Optimized Design

- Runway tools are exposed with clear schemas that language models can understand and call correctly
- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know which Runway job ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Runway
- Scoped, least privilege access to Runway media generation and transformation workflows
- Full audit trail of agent actions to support review, billing checks, and compliance

## Use Runway with any AI Agent Framework

Choose a framework you want to connect Runway with:

None listed.

## Related Toolkits

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## Frequently Asked Questions

### Do I need my own developer credentials to use Runway with Composio?

Yes, Runway requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)