How to integrate Runway MCP with Google ADK

This guide walks you through connecting Runway to Google ADK using the Composio tool router. By the end, you'll have a working Runway agent that can generate images, create videos, produce speech, make sound effects, and manage documents through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a Runway account through Composio's Runway MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Runway logoRunway
Api Key

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.

22 Tools

Introduction

This guide walks you through connecting Runway to Google ADK using the Composio tool router. By the end, you'll have a working Runway agent that can generate images, create videos, produce speech, make sound effects, and manage documents through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Runway account through Composio's Runway MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get a Runway account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Runway
  • Build an agent that connects to Runway through MCP
  • Interact with Runway using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

What is the Runway MCP server, and what's possible with it?

The Runway MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Runway account. It provides structured and secure access to your generative media, workflows, knowledge documents, and account usage, so your agent can generate media, transform content, run workflows, manage documents, and monitor activity on your behalf.

  • Image and video generation: Have your agent create images from prompts, generate videos from text, or animate existing images with your chosen Runway model.
  • Media transformation and upscaling: Direct your agent to restyle existing videos or upscale images and videos for higher-quality results.
  • Speech and sound creation: Let the agent synthesize speech with supported voices or generate sound effects from written descriptions.
  • Workflow and knowledge management: Instruct your agent to inspect and run published workflows, then create, review, update, or delete knowledge documents used by avatar workflows.
  • Task, credit, and usage monitoring: Have your agent check generation progress, retrieve completed media, cancel running tasks, and review credit balances, quotas, and daily usage.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Runway via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management
6

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["runway"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration
8

Set up the McpToolset and create the Agent

python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Runway operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

  • adk run runs the agent in CLI mode
  • adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Runway and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["runway"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Runway operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Runway with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Runway using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Runway tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

TOOLS

Supported Tools

Every Runway action and event your agent gets out of the box.

Cancel Task

Cancel a running Runway task or delete its task record.

Create Document

Create a Runway knowledge document from markdown or plain text for reuse by avatar workflows.

Create Ephemeral Upload

Create only a temporary Runway media upload slot and return its presigned multipart form details and runway:// URI.

Delete Document

Permanently delete a Runway knowledge document by its ID.

Generate Image

Start a Runway text-to-image or reference-guided image generation task and return its task ID and estimated credit cost.

Generate Sound Effect

Generate an audio effect from a text prompt and return the task ID and estimated credit cost.

Generate Speech

Synthesize speech with Runway using an exact model-specific voice and option contract, then return the task ID and estimated credit cost.

Generate Video from Image

Animate one or more input images with a selected Runway model and return the task ID and estimated credit cost.

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.

Get Document

Get one Runway knowledge document, including its full content and the avatars that currently use it.

Get Organization

Return the connected Runway organization's credit balance, monthly credit spend cap, exact per-model quotas, and current daily generation usage.

Get Task

Get the current status, cost, output URLs, and failure details for a Runway generation task.

Get Usage

Return daily Runway credit usage by model for an optional UTC date range of up to 90 days.

Get Workflow

Get a published Runway workflow version and its graph so node IDs and output keys can be inspected before running the workflow.

Get Workflow Invocation

Get the current status, completed node output URLs, and node or invocation failure details for a Runway workflow invocation.

List Documents

List Runway knowledge documents one page at a time, with sorting and an opaque continuation cursor.

List Workflows

List the connected account's published Runway workflows and their available versions, ordered as returned by Runway.

Run Workflow

Invoke a published Runway workflow, optionally overriding graph node outputs, and return the created workflow invocation ID.

Transform Video

Transform or restyle an existing video with Runway and return the created task ID and estimated credit cost.

Update Document

Change the name, content, or both for an existing Runway knowledge document.

Upscale Image

Start a Runway image upscaling task and return its task ID and estimated credit cost.

Upscale Video

Start a Runway video upscaling task and return its task ID and estimated credit cost.

FAQ

Frequently asked questions

With a standalone Runway MCP server, the agents and LLMs can only access a fixed set of Runway tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Runway and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Runway tools.

Yes, absolutely. You can configure which Runway scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Runway data and credentials are handled as safely as possible.

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