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How to integrate Supadata MCP with CrewAI

Connect CrewAI to Supadata MCP. Extract all urls from a competitor website, scrape the main content from a blog post, and more using natural language, with authentication handled for you.

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Supadata is a web and video-to-text API that extracts structured data from videos and websites. It enables fast, automated content parsing for AI training and analysis.

20 Tools

Introduction

This guide walks you through connecting Supadata to CrewAI using the Composio tool router. By the end, you'll have a working Supadata agent that can fetch YouTube transcripts, translate transcripts, scrape and crawl websites, search YouTube, and pull video and channel metadata through natural language commands.

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

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

Also integrate Supadata with

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TL;DR

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

The Supadata MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Supadata account. It provides structured and secure access to web and video data extraction tools, so your agent can perform actions like scraping websites, mapping URLs, transcribing YouTube videos, and gathering channel or playlist metadata on your behalf.

  • Comprehensive website scraping and content extraction: Instruct your agent to pull structured content from any website, enabling programmatic parsing and analysis for research or automation.
  • Automated sitemap and URL mapping: Let your agent retrieve all URLs from a given website, making it easy to analyze site structure or perform link audits.
  • YouTube video and channel metadata retrieval: Have your agent fetch detailed metadata for any YouTube video, playlist, or channel—including titles, descriptions, stats, and more.
  • YouTube search and discovery: Empower your agent to search YouTube for videos, channels, or playlists by keyword, streamlining content discovery and curation tasks.
  • Playlist and channel video extraction: Direct your agent to list and export videos from specific YouTube channels or playlists, complete with pagination support for large collections.

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 Supadata 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 Supadata 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 Supadata MCP URL
6

Create a Composio Tool Router session for Supadata

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

url = session.mcp.url
What's happening:
  • You create a Supadata only session through Composio
  • Composio returns an MCP HTTP URL that exposes Supadata 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 Supadata 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=["supadata"],
)
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 Supadata through Composio's Tool Router. The agent can perform Supadata 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

Supported Tools

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

Get Account Information

Retrieve organization details, plan information, and credit usage for the authenticated account.

Get Media Metadata

Retrieve unified metadata for supported social-media content.

Get Video Transcript

Get transcript from a video on supported platforms or from a file URL.

Get Transcript by Job ID

Get the status and results of an asynchronous transcript job by job ID.

Get Video Extraction Result

Retrieve the status and result of a video extraction job using your own Supadata connection.

Get Web Crawl Result

Poll a web crawl and retrieve its pages using your own Supadata connection.

Website URL Map

Crawl a website and extract all URLs/links found on it.

Scrape Web Page

Extract content from any webpage and convert it to Markdown format.

Get YouTube Batch Result

Poll a YouTube transcript or video metadata batch using your own Supadata connection.

Get YouTube Channel Metadata

Fetches metadata for a YouTube channel including name, description, subscriber count, video count, view count, and channel images.

Get YouTube Channel Videos

Tool to retrieve video IDs from a YouTube channel.

Get YouTube Playlist Metadata

Retrieve metadata for a YouTube playlist including title, description, video count, view count, last updated timestamp, and channel information.

Get YouTube Playlist Videos

Tool to retrieve video IDs from a YouTube playlist.

Get YouTube Video Metadata

Retrieve comprehensive metadata for a YouTube video by its ID.

Search YouTube

Search YouTube for videos, channels, or playlists by keyword.

Start Video Extraction

Start asynchronous structured extraction from public videos on supported social platforms or public media files, using a prompt, schema, or both.

Start Web Crawl

Start an asynchronous website crawl following child links under the supplied URL.

Start YouTube Transcript Batch

Start an asynchronous YouTube transcript batch from exactly one list of video IDs, playlist, or channel.

Start YouTube Video Metadata Batch

Start an asynchronous YouTube video metadata batch from exactly one list of video IDs, playlist, or channel.

Translate YouTube Transcript

Translate a YouTube transcript into a requested ISO 639-1 language.

FRAMEWORKS

How to build Supadata MCP Agent with another framework

Claude Code logo

Claude Code

Use Supadata MCP with Claude Code

Cursor logo

Cursor

Use Supadata MCP with Cursor

ChatGPT logo

ChatGPT

Use Supadata MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Supadata MCP with Claude Cowork

Antigravity logo

Antigravity

Use Supadata MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Supadata MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Supadata MCP with Claude Agent SDK

Codex logo

Codex

Use Supadata MCP with Codex

Grok Build logo

Grok Build

Use Supadata MCP with Grok Build

VS Code logo

VS Code

Use Supadata MCP with VS Code

OpenCode logo

OpenCode

Use Supadata MCP with OpenCode

OpenClaw logo

OpenClaw

Use Supadata MCP with OpenClaw

Hermes logo

Hermes

Use Supadata MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Supadata MCP with Atomic Agent

Pi logo

Pi

Use Supadata MCP with Pi

DeepSeek Harness logo

DeepSeek Harness

Use Supadata MCP with DeepSeek Harness

Google ADK logo

Google ADK

Use Supadata MCP with Google ADK

LangChain logo

LangChain

Use Supadata MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Supadata MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Supadata MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Supadata MCP with LlamaIndex

Pydantic AI logo

Pydantic AI

Use Supadata MCP with Pydantic AI

AutoGen logo

AutoGen

Use Supadata MCP with AutoGen

FAQ

Frequently asked questions

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

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

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