# 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": "2026-10-04T15:07:45.386Z"
}
```

![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, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

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

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Runway
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["runway"])
tools = session.tools()
```

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

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["runway"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Runway tools with your agent

Send a request, execute the Runway tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Generate a 5-second Runway video of a futuristic city skyline at sunset"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Generate a 5-second Runway video of a futuristic city skyline at sunset" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Runway and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["runway"], mcp=True)
```

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["runway"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Runway request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Runway tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Generate a 5-second Runway video of a futuristic city skyline at sunset")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Generate a 5-second Runway video of a futuristic city skyline at sunset",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## 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

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
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- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [AltTextLab](https://composio.dev/toolkits/alt_text_lab) - AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish.
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- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
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- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
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- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
- [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Avoma](https://composio.dev/toolkits/avoma) - Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.

## 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)