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How to integrate Supadata MCP with Mastra AI

Connect Mastra AI 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

Api Key

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

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Introduction

This guide walks you through connecting Supadata to Mastra AI 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 Mastra AI 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.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

TL;DR

Here's what you'll learn:

Set up your environment so Mastra, OpenAI, and Composio work together
Create a Tool Router session in Composio that exposes Supadata tools
Connect Mastra's MCP client to the Composio generated MCP URL
Fetch Supadata tool definitions and attach them as a toolset
Build a Mastra agent that can reason, call tools, and return structured results
Run an interactive CLI where you can chat with your Supadata agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

MCP Client: Built-in support for Model Context Protocol servers
Toolsets: Organize tools into logical groups
Step Callbacks: Monitor and debug agent execution
OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:

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

Step-by-step Guide

Step by step09 STEPS

Prerequisites

Before starting, make sure you have:

Node.js 18 or higher
A Composio account with an active API key
An OpenAI API key
Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key.
You need credits or a connected billing setup to use the models.
Store the key somewhere safe.

Composio API Key

Log in to the Composio dashboard.
Go to Settings and copy your API key.
This key lets your Mastra agent talk to Composio and reach Supadata through MCP.

Install dependencies

bash

npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

@composio/core is the Composio SDK for creating MCP sessions
@mastra/core provides the Agent class
@mastra/mcp is Mastra's MCP client
@ai-sdk/openai is the model wrapper for OpenAI
dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_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 your requests to Composio
COMPOSIO_USER_ID tells Composio which user this session belongs to
OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});

What's happening:

dotenv/config auto loads your .env so process.env.* is available
openai gives you a Mastra compatible model wrapper
Agent is the Mastra agent that will call tools and produce answers
MCPClient connects Mastra to your Composio MCP server
Composio is used to create a Tool Router session

Create a Tool Router session for Supadata

typescript

async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["supadata"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Supadata MCP URL:", composioMCPUrl);

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "supadata" for Supadata access
session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript

const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);

What's happening:

MCPClient takes an id for this client and a list of MCP servers
The headers property includes the x-api-key for authentication
getTools fetches the tool definitions exposed by the Supadata toolkit

Create the Mastra agent

typescript

const agent = new Agent({
    name: "supadata-mastra-agent",
    instructions: "You are an AI agent with Supadata tools via Composio.",
    model: "openai/gpt-5",
  });

What's happening:

Agent is the core Mastra agent
name is just an identifier for logging and debugging
instructions guide the agent to use tools instead of only answering in natural language
model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript

let messages: AiMessageType[] = [];

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

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        supadata: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

What's happening:

messages keeps the full conversation history in Mastra's expected format
agent.generate runs the agent with conversation history and Supadata toolsets
maxSteps limits how many tool calls the agent can take in a single run
onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Supadata and Mastra AI:

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["supadata"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      supadata: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "supadata-mastra-agent",
    instructions: "You are an AI agent with Supadata tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { supadata: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Supadata through Composio's Tool Router. You can extend this further by:

Adding other toolkits like Gmail, Slack, or GitHub
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows

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

Use Supadata MCP with Claude Code

Cursor

Use Supadata MCP with Cursor

ChatGPT

Use Supadata MCP with ChatGPT

Claude Cowork

Use Supadata MCP with Claude Cowork

Antigravity

Use Supadata MCP with Antigravity

OpenAI Agents SDK

Use Supadata MCP with OpenAI Agents SDK

Claude Agent SDK

Use Supadata MCP with Claude Agent SDK

Codex

Use Supadata MCP with Codex

Grok Build

Use Supadata MCP with Grok Build

VS Code

Use Supadata MCP with VS Code

OpenCode

Use Supadata MCP with OpenCode

OpenClaw

Use Supadata MCP with OpenClaw

Hermes

Use Supadata MCP with Hermes

Atomic Agent

Use Supadata MCP with Atomic Agent

Pi

Use Supadata MCP with Pi

DeepSeek Harness

Use Supadata MCP with DeepSeek Harness

Google ADK

Use Supadata MCP with Google ADK

LangChain

Use Supadata MCP with LangChain

Vercel AI SDK

Use Supadata MCP with Vercel AI SDK

LlamaIndex

Use Supadata MCP with LlamaIndex

CrewAI

Use Supadata MCP with CrewAI

Pydantic AI

Use Supadata MCP with Pydantic AI

AutoGen

Use Supadata MCP with AutoGen

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Firecrawl

Api Key

Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.

Tavily

Api Key

Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.

Exa

Api Key

Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.

Serpapi

Api Key

SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.

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. Mastra AI 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.

Start with Supadata.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Supadata tool your agent needs.Free to start.

Start building

How to integrate Supadata MCP with Mastra AI

Connect Supadata without auth hassles

Introduction

Also integrate Supadata with

TL;DR

What is Mastra AI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for Supadata

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Supadata MCP Agent with another framework

Claude Code

Cursor

ChatGPT

Claude Cowork

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Codex

Grok Build

VS Code

OpenCode

OpenClaw

Hermes

Atomic Agent

Pi

DeepSeek Harness

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Firecrawl

Tavily

Exa

Serpapi

Frequently asked questions

What are the differences in Tool Router MCP and Supadata MCP?

Can I use Tool Router MCP with Mastra AI?

Can I manage the permissions and scopes for Supadata while using Tool Router?

How safe is my data with Composio Tool Router?

Start with Supadata.It takes 30 seconds.