How to integrate YouTube Transcript MCP with Google ADK

This guide walks you through connecting YouTube Transcript to Google ADK using the Composio tool router. By the end, you'll have a working YouTube Transcript agent that can fetch video transcripts, fetch transcripts in batches, list stored transcripts, and check transcript languages through natural language commands. This guide will help you understand how to give your Google ADK agent real control over a YouTube Transcript account through Composio's YouTube Transcript MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Api Key

YouTube Transcript is a REST API for retrieving, storing, and reading YouTube video captions and transcript metadata. Use it to turn YouTube videos, playlists, and channels into searchable transcript data.

9 Tools

Introduction

This guide walks you through connecting YouTube Transcript to Google ADK using the Composio tool router. By the end, you'll have a working YouTube Transcript agent that can fetch video transcripts, fetch transcripts in batches, list stored transcripts, and check transcript languages through natural language commands.

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

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

Also integrate YouTube Transcript with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLILangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get a YouTube Transcript account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for YouTube Transcript
  • Build an agent that connects to YouTube Transcript through MCP
  • Interact with YouTube Transcript 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 YouTube Transcript MCP server, and what's possible with it?

The YouTube Transcript MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your YouTube Transcript account. It provides structured and secure access to video captions, stored transcripts, processing statuses, available languages, and playlist or channel video details, so your agent can retrieve captions, monitor transcription work, search saved transcripts, inspect language options, and find videos from playlists or channels on your behalf.

  • Single video transcription: Have your agent fetch captions for a YouTube video and save the resulting transcript to your account.
  • Batch caption retrieval: Direct your agent to retrieve and store captions for a group of up to 10 YouTube videos.
  • Transcription status checks: Let the agent check whether individual or batch transcription work is processing, complete, failed, or waiting for speech recognition confirmation.
  • Stored transcript access: Instruct your agent to list, search, and read transcripts already saved in your account without starting new transcription work.
  • Language and video discovery: Have your agent review stored and translation languages for a transcript, or find video details from a YouTube playlist or channel.

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 YouTube Transcript 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=["youtube_transcript"],
)

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 YouTube Transcript 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 YouTube Transcript 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=["youtube_transcript"],
)

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 YouTube Transcript operations."
    ),  
    tools=[composio_toolset],
)

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

Conclusion

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

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate YouTube Transcript 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 YouTube Transcript action and event your agent gets out of the box.

Get Stored Transcript

Read a transcript already stored in the connected account without submitting new transcription work or consuming retrieval credits.

Get Video Transcript

Fetch captions for one YouTube video and store the resulting transcript in the connected account.

Get Video Transcript Job Status

Read one transcript job's current processing, completed, failed, or requires-ASR-confirmation state without creating work or waiting.

Get Video Transcripts Batch

Fetch and store captions for 1-10 YouTube videos.

Get Video Transcripts Batch Status

Read the current state and available per-video results for a transcript batch without creating work or waiting.

List Stored Transcripts

List and search transcripts already stored in the connected account, one bounded page at a time.

List Transcript Languages

List stored languages and YouTube translation target languages for one owned video transcript.

Resolve Channel Videos

Requires Basic or higher.

Resolve Playlist Videos

Requires Basic or higher.

FRAMEWORKS

How to build YouTube Transcript MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use YouTube Transcript MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use YouTube Transcript MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use YouTube Transcript MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use YouTube Transcript MCP with Claude Cowork

Codex logo

Codex

Use YouTube Transcript MCP with Codex

OpenClaw logo

OpenClaw

Use YouTube Transcript MCP with OpenClaw

Hermes logo

Hermes

Use YouTube Transcript MCP with Hermes

CLI logo

CLI

Use YouTube Transcript MCP with CLI

LangChain logo

LangChain

Use YouTube Transcript MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use YouTube Transcript MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use YouTube Transcript MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use YouTube Transcript MCP with LlamaIndex

CrewAI logo

CrewAI

Use YouTube Transcript MCP with CrewAI

FAQ

Frequently asked questions

With a standalone YouTube Transcript MCP server, the agents and LLMs can only access a fixed set of YouTube Transcript tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from YouTube Transcript 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 YouTube Transcript tools.

Yes, absolutely. You can configure which YouTube Transcript 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 YouTube Transcript data and credentials are handled as safely as possible.

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