How to integrate Youtube MCP with CrewAI

This guide walks you through connecting Youtube to CrewAI using the Composio tool router. By the end, you'll have a working Youtube agent that can list your most recent uploaded videos, get subscriber count for your channel, search youtube for trending tutorials through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Youtube account through Composio's Youtube MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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YouTube is a leading video-sharing platform for uploading, streaming, and discovering content. It empowers creators and businesses to reach global audiences and monetize their work.

47 Tools4 Triggers

Introduction

This guide walks you through connecting Youtube to CrewAI using the Composio tool router. By the end, you'll have a working Youtube agent that can list your most recent uploaded videos, get subscriber count for your channel, search youtube for trending tutorials through natural language commands.

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

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

Also integrate Youtube with

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Youtube connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Youtube
  • Build a conversational loop where your agent can execute Youtube operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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

The Youtube 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 account. It provides structured and secure access to your channel data, so your agent can perform actions like searching videos, managing playlists, retrieving channel insights, and handling subscriptions on your behalf.

  • Channel activity monitoring: Let your agent fetch and summarize recent channel activities, including uploads, likes, playlist additions, and more, to keep you up to date at a glance.
  • Automated video and playlist management: Easily list videos from any channel, retrieve your own playlists, and organize your content—all through AI-driven commands.
  • Channel analytics and statistics: Ask your agent to pull detailed channel metrics such as subscriber counts, total views, or video counts for quick reporting and insights.
  • Subscription management: Have your agent list your current subscriptions or even subscribe you to new channels based on your interests or instructions.
  • Search and caption handling: Empower your agent to search YouTube for videos, channels, or playlists, as well as retrieve and download caption tracks for accessible viewing and content repurposing.

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Youtube connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Youtube via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

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

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Youtube MCP URL
6

Create a Composio Tool Router session for Youtube

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["youtube"])

url = session.mcp.url
What's happening:
  • You create a Youtube only session through Composio
  • Composio returns an MCP HTTP URL that exposes Youtube tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Youtube and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

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.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["youtube"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Youtube through Composio's Tool Router. The agent can perform Youtube operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS & TRIGGERS

Supported Tools and Triggers

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

Add Video to Playlist

Tool to add a video to a playlist by inserting a playlist item.

Insert Channel Section

Tool to create a new channel section for the authenticated user's YouTube channel.

Insert Comment Reply

Tool to create a reply to an existing YouTube comment.

Create Playlist

Tool to create a new YouTube playlist on the authenticated user's channel.

Delete Channel Section

Tool to delete a YouTube channel section.

Delete Comment

Tool to delete a YouTube comment owned by the authenticated user or channel.

Delete Playlist

Tool to delete a YouTube playlist owned by the authenticated user/channel.

Delete Playlist Item

Tool to delete a playlist item (remove a video from a playlist).

Delete Video

Tool to delete a YouTube video owned by the authenticated user/channel.

Get Channel Activities

Gets recent activities from a YouTube channel including video uploads, playlist additions, likes, and other channel events.

Get channel ID by handle

Retrieves the YouTube Channel ID for a specific YouTube channel handle.

Get Channel Statistics

Gets detailed statistics for YouTube channels including subscriber counts, view counts, and video counts.

Video Details Batch

Retrieves multiple YouTube video resource parts in a single batch call.

Get Video Rating

Retrieves the ratings that the authorized user gave to a list of specified videos.

List captions

Retrieves a list of caption tracks for a YouTube video.

List Channel Sections

Tool to retrieve channel sections from YouTube.

List channel videos

Lists videos from a specified YouTube channel.

List Comments

List individual comments from YouTube videos.

List Comment Threads

Tool to retrieve comment threads from YouTube videos or channels matching API request parameters.

List I18n Languages

Returns a list of application languages that the YouTube website supports.

List I18n Regions

Tool to retrieve a list of content regions that the YouTube website supports.

List Live Chat Messages

Tool to list live chat messages for a specific chat.

List Playlist Images

Tool to retrieve playlist images associated with a specific playlist.

List Playlist Items

Tool to list videos in a playlist, with pagination support.

List Super Chat Events

Lists Super Chat events for a channel, showing supporter purchases during live streams.

List user playlists

Retrieves playlists owned by the authenticated user, implicitly using mine=True.

List user subscriptions

Retrieves the authenticated user's YouTube channel subscriptions, allowing specification of response parts and pagination.

List Video Abuse Report Reasons

Tool to retrieve a list of abuse report reasons that can be used to report abusive videos on YouTube.

List Video Categories

Tool to list YouTube video categories that can be associated with videos.

Download YouTube caption track

Downloads a specific YouTube caption track, which must be owned by the authenticated user, and returns its content as text.

Multipart upload video

Uploads a video to YouTube using multipart upload in a single request.

Post Comment on Video

Tool to post a new top-level comment on a YouTube video.

Rate Video

Tool to add a like or dislike rating to a YouTube video, or remove an existing rating.

Report Video for Abuse

Tool to report a YouTube video for containing abusive content.

Search YouTube

Searches YouTube for videos, channels, or playlists using a query term, returning the raw API response.

Set Comment Moderation Status

Tool to set the moderation status of one or more YouTube comments.

Subscribe to channel

Subscribes the authenticated user to a specified YouTube channel, identified by its unique `channelId` which must be valid and existing.

Unsubscribe from channel

Tool to unsubscribe the authenticated user from a YouTube channel by deleting a subscription.

Update caption track

Updates a YouTube caption track's metadata such as name, language, or draft status.

Update channel

Updates a channel's metadata including branding settings and localizations.

Update Channel Section

Tool to update an existing YouTube channel section by ID.

Update Comment

Tool to modify the text of an existing YouTube comment.

Update Playlist

Tool to modify an existing YouTube playlist's metadata (title, description, privacy status).

Update Playlist Item

Tool to modify a playlist item's properties such as position or note.

Update thumbnail

Sets the custom thumbnail for a YouTube video using an image from a URL.

Update video

Updates metadata for a YouTube video identified by videoId, which must exist; an empty list for tags removes all existing tags.

Upload video

Uploads a video from a local file path to a YouTube channel; the video file must be in a YouTube-supported format.

FAQ

Frequently asked questions

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

Yes, you can. CrewAI 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 tools.

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

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