Use
COMPOSIOFOR YOU
Give Claude, Codex, or any harness secure access to 1700+ tools
CLI
One command to add tools and auth to your coding agent
Build
DEVELOPER PLATFORM
SDKs, tools, and auth for agents and backend apps
MCP GATEWAY
One managed MCP endpoint for all your tools and agents
ENTERPRISE
SSO, governance, and audit controls for deploying agents org-wide
Features
TRIGGERS
Start background agents from events across your connected apps
FIREWALLNEW
Blocks instructions hidden in tool results before your agent reads them
INSTANTNEW
Audio, video, search, browser and data tools, with no keys to manage
OPTIMIZATION
Lower cost per completed task with optimised tools and skills
FOR AGENTS
CLAUDE CODEX OPENCLAW CURSOR HERMES
BUILT FOR
OFFICE WORK SALES MARKETING PRODUCT & DESIGN CUSTOMER SUPPORT ENGINEERING HR & RECRUITING FINANCE & OPS E-COMMERCE CONTENT & MEDIA IT & SECURITY
ALL USE CASES
DOCS

How to integrate Brightdata MCP with Vercel AI SDK v6

Connect Vercel AI SDK v6 to Brightdata MCP. Download all product listings from this ecommerce site, check crawl status for your recent job, and more using natural language, with authentication handled for you.

Get started for free Get a demo

Brightdata

Api Key

Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.

167 Tools

Managed auth

Connect Brightdata without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

Book a call

Explore the MCP Gateway

Introduction

This guide walks you through connecting Brightdata to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Brightdata agent that can scrape e-commerce and social media sites, run SERP searches, crawl websites, unlock protected pages, and filter ready-made datasets through natural language commands.

This guide will help you understand how to give your Vercel AI SDK agent real control over a Brightdata account through Composio's Brightdata 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:

How to set up and configure a Vercel AI SDK agent with Brightdata integration
Using Composio's Tool Router to dynamically load and access Brightdata tools
Creating an MCP client connection using HTTP transport
Building an interactive CLI chat interface with conversation history management
Handling tool calls and results within the Vercel AI SDK framework

What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.

Key features include:

streamText: Core function for streaming responses with real-time tool support
MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
OpenAI Provider: Native integration with OpenAI models

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

The Brightdata MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Brightdata account. It provides structured and secure access to Brightdata’s web data platform, so your agent can trigger site crawls, run SERP searches, filter and download datasets, and manage proxy endpoints on your behalf.

Automated site crawling and extraction: Start large-scale crawl jobs across multiple web pages or entire domains, letting your agent collect structured data from the internet with just a prompt.
Access to pre-made marketplace scrapers: Browse and select from Brightdata’s collection of pre-built scrapers for popular websites, making it easy to gather structured data without building your own scrapers from scratch.
Filtered dataset generation and download: Apply custom filters to datasets, check crawl job status, and retrieve the exact data you need by downloading processed results once ready.
Powerful SERP and web unlocker tools: Perform real-time SERP searches across various engines and leverage web unlocker zones to bypass anti-bot protections and scrape challenging websites.
Proxy zone and location management: List available proxy zones, cities, and countries to configure how and where your data collection jobs run, optimizing for speed and success.

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 you begin, make sure you have:

Node.js and npm installed
A Composio account with API key
An OpenAI API key

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.

Install required dependencies

bash

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

First, install the necessary packages for your project.

What you're installing:

@ai-sdk/openai: Vercel AI SDK's OpenAI provider
@ai-sdk/mcp: MCP client for Vercel AI SDK
@composio/core: Composio SDK for tool integration
ai: Core Vercel AI SDK
dotenv: Environment variable management

Set up environment variables

bash

OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

Create a .env file in your project root.

What's needed:

OPENAI_API_KEY: Your OpenAI API key for GPT model access
COMPOSIO_API_KEY: Your Composio API key for tool access
COMPOSIO_USER_ID: A unique identifier for the user session

Import required modules and validate environment

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

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

if (!process.env.OPENAI_API_KEY) 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,
});

What's happening:

We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
The dotenv/config import automatically loads environment variables
The MCP client import enables connection to Composio's tool server

Create Tool Router session and initialize MCP client

typescript

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["brightdata"],
  });

  const mcpUrl = session.mcp.url;

What's happening:

We're creating a Tool Router session that gives your agent access to Brightdata tools
The create method takes the user ID and specifies which toolkits should be available
The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
This session provides access to all Brightdata-related tools through the MCP protocol

Connect to MCP server and retrieve tools

typescript

const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();

What's happening:

We're creating an MCP client that connects to our Composio Tool Router session via HTTP
The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
The type: "http" is important - Composio requires HTTP transport
tools() retrieves all available Brightdata tools that the agent can use

Initialize conversation and CLI interface

typescript

let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to brightdata, like summarize my last 5 emails, send an email, etc... :)))\n",
);

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

rl.prompt();

What's happening:

We initialize an empty messages array to maintain conversation history
A readline interface is created to accept user input from the command line
Instructions are displayed to guide the user on how to interact with the agent

Handle user input and stream responses with real-time tool feedback

typescript

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({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

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

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

What's happening:

We use streamText instead of generateText to stream responses in real-time
toolChoice: "auto" allows the model to decide when to use Brightdata tools
stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
onStepFinish callback displays which tools are being used in real-time
We iterate through the text stream to create a typewriter effect as the agent responds
The complete response is added to conversation history to maintain context
Errors are caught and displayed with helpful retry suggestions

Complete Code

Here's the complete code to get you started with Brightdata and Vercel AI SDK:

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

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

if (!process.env.OPENAI_API_KEY) 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,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["brightdata"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to brightdata, like summarize my last 5 emails, send an email, etc... :)))\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({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

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

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

Conclusion

You've successfully built a Brightdata agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.

Key features of this implementation:

Real-time streaming responses for a better user experience with typewriter effect
Live tool execution feedback showing which tools are being used as the agent works
Dynamic tool loading through Composio's Tool Router with secure authentication
Multi-step tool execution with configurable step limits (up to 10 steps)
Comprehensive error handling for robust agent execution
Conversation history maintenance for context-aware responses

You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

TOOLS

Supported Tools

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

Start Site Crawl

Start an asynchronous dataset or site crawl.

Create Safe Zone

Create a durable SERP API or Scraping Browser zone using a fixed safe plan.

List Marketplace Datasets

List pre-built datasets in Bright Data's marketplace for structured scraping.

Filter Dataset

Create a billable filtered marketplace-dataset snapshot.

Get Customer Balance

Get current and pending Bright Data account balances.

Get Dataset Metadata

Retrieve field definitions for a Bright Data marketplace dataset.

Get Deep Lookup Results

Retrieve enriched records plus available progress, cost, and provider metadata for a completed Deep Lookup request.

Get Deep Lookup Status

Check a Deep Lookup request's status, progress, cost, and provider metadata.

Get Destination Type Schema

Retrieve the fields required to configure a Bright Data delivery destination.

List Available Cities

List static-network cities available for a country and proxy pool type.

List Available Countries

List country codes available for each static proxy zone type.

Get SERP Results

Retrieve JSON or raw results for an asynchronous BRIGHTDATA_SERP_SEARCH request.

Download Snapshot Results

Download a completed dataset snapshot.

Check Snapshot Status

Check whether a dataset snapshot is running, ready, or failed before downloading it.

Get Web Archive Search

Get a Web Archive search's status and its matching-file, dump-size-in-bytes, and dump-cost-in-USD estimates.

Get Zone Bandwidth

Get uploaded, downloaded, and total byte usage for one zone and date range.

Get Zone Cost

Get invoice-aligned billed cost and bandwidth for one zone and date range.

Get Country Cities

List cities in a country for account-level geographic selection.

Get Dataset Delivery Options

List settings supported when configuring Bright Data dataset delivery.

List Scraper Studio Scrapers

List account-owned Scraper Studio scrapers and discover collector IDs.

List Unlocker Zones

List configured Web Unlocker zones and their types for protected-URL scraping.

Scrape AE.com - Complete Products

Collect AE.

Scrape Agoda Listings Search

Collect Agoda Listings Search.

Scrape Agoda Properties Listings

Collect Agoda Properties Listings.

Scrape Agoda Properties Listings with Pricing

Collect Agoda Properties Listings with Pricing.

Scrape Agoda Reviews

Collect Agoda Reviews.

Amazon products

Collect Amazon products by URL with optional ASIN metadata, or discover them by best-seller/category URL, keyword, or UPC, returning product and price data.

Amazon products search

Collect structured Amazon products search data from amazon.

Amazon products global dataset

Collect global Amazon products by URL or discover them by best-seller, brand, category, keyword/domain, or seller, returning product and price data.

Amazon Reviews

Collect structured Amazon Reviews data from amazon.

Amazon sellers info

Collect structured Amazon sellers info data from amazon.

American Eagle Products - Unified Schema

Collect American Eagle.

Scrape Apple App Store

Collect Apple App Store.

Scrape Apple App Store reviews

Collect Apple App Store reviews .

Ashley Furniture Products

Collect Ashleyfurniture - Products.

Ashley Furniture Products - Unified Schema

Collect Ashley Furniture.

Scrape Best Buy products

Collect Best Buy products.

Scrape Best Buy Reviews

Collect Best Buy Reviews.

Scrape Booking Hotel Listings

Collect Booking Hotel Listings .

Scrape Booking Hotel Listings with Pricing

Collect Booking Hotel Listings with Pricing.

Scrape Booking Listings Search

Collect Booking Listings Search.

Scrape Booking Reviews

Collect Booking Reviews.

Scrape ChatGPT Search

Collect ChatGPT Search.

Scrape Costco products

Collect Costco products.

Scrape Costco Reviews

Collect Costco Reviews.

Crate & Barrel Products

Collect Crateandbarrel - Products.

Crate & Barrel Products - Unified Schema

Collect Crateandbarrel - Products.

Creative Commons 3D Models

Collect Creative Commons 3D Models.

Scrape Creative Commons Images

Collect Creative Commons Images.

Scrape Data Synchronously

Scrape up to 20 input objects synchronously.

Scrape Dior - Products

Collect Dior - Products.

Scrape Dior Products Unified Schema

Collect Dior Products Unified Schema.

Facebook - Comments

Collect structured Facebook - Comments data from facebook.

Scrape Facebook Company Reviews

Collect Facebook Company Reviews.

Scrape Facebook Events

Collect Facebook Events.

Facebook - Posts by group URL

Collect structured Facebook - Posts by group URL data from facebook.

Scrape Facebook Marketplace

Collect Facebook Marketplace.

Facebook - Pages Posts by Profile URL

Collect structured Facebook - Pages Posts by Profile URL data from facebook.

Facebook - Pages and Profiles

Collect Facebook pages and public profiles with the combined page/profile dataset, including entity type and page-oriented fields.

Scrape Facebook - Posts by post URL

Collect Facebook - Posts by post URL.

Scrape Facebook - Profiles

Collect Facebook profile URLs with the profile-only dataset.

Scrape Facebook - Reels by profile URL

Collect Facebook - Reels by profile URL.

Scrape Falabella.com - Reviews

Collect Falabella.

Scrape Falabella.com - Search

Collect Falabella.

Falabella Products

Collect Falabella.

Scrape Flipkart.com - Search

Collect Flipkart.

Flipkart Products

Collect Flipkart.

Scrape Flipkart Products unified schema

Collect Flipkart Products unified schema.

Scrape Flipkart - Reviews

Collect Flipkart - Reviews.

Scrape Glassdoor companies overview information

Collect Glassdoor companies overview information.

Scrape Glassdoor companies reviews

Collect Glassdoor companies reviews.

Glassdoor Jobs

Collect Glassdoor job listings information.

Scrape Google AI Mode Search

Collect Google AI Mode Search.

Scrape Google Flights

Collect Google Flights.

Scrape Google Hotels

Collect Google Hotels.

Scrape Google Images

Collect Google Images.

Scrape Google Maps Images

Collect Google Maps place images.

Google Maps Places

Collect Google Maps place URLs or discover places by keyword and location.

Scrape Google maps reviews

Collect Google Maps place reviews or discover reviews from place URLs.

Scrape Google Play Store

Collect Google Play Store.

Scrape Google Play Store reviews

Collect Google Play Store reviews.

Google SERP 100 Results

Collect Google SERP - 100 Results.

Scrape Google Shopping

Collect Google Shopping product pages or discover products by keyword with the general Google Shopping dataset.

Scrape Google Shopping products search US

Collect US Google Shopping search-result URLs with the US search schema.

H&M Products

Collect H&M - Products.

H&M Products - Unified Schema

Collect H&M products.

Scrape Ikea - Products

Collect Ikea - Products.

Scrape Ikea products unified schema

Collect Ikea products unified schema.

Scrape Indeed companies info

Collect Indeed companies info.

Indeed Jobs

Collect Indeed job listings information.

Scrape Instacart products

Collect Instacart products.

Scrape Instacart Products unified schema

Collect Instacart Products unified schema.

Scrape Instagram Comments

Collect Instagram comments with commenter, text, date, likes, replies, hashtags, tagged users, and source-post details.

Scrape Instagram Posts

Collect Instagram posts or discover posts from a profile, returning captions, hashtags, media, engagement, dates, location, and comments.

Scrape Instagram Profiles

Collect Instagram profiles by URL or discover them by username, returning biography, audience, verification, links, posts, and profile image.

Scrape Instagram Reels

Collect Instagram reels or discover reels from profiles, returning captions, hashtags, media, dates, engagement, play counts, and comments.

Scrape Kohls.com - Reviews

Collect Kohls.

Kohl's Products

Collect Kohls.

Scrape Kohl's Products unified schema

Collect Kohl's Products unified schema.

Scrape Kroger.com - Search

Collect Kroger.

Kroger Products

Collect Kroger.

Scrape LinkedIn Companies

Collect structured LinkedIn company details, including size, industry, locations, followers, specialties, and website.

Scrape LinkedIn Jobs

Collect LinkedIn job listings or discover jobs by keyword, location, and search URL, returning role, employer, location, summary, and pay data.

Scrape LinkedIn People Search

Search LinkedIn people and return matching profile URLs, names, subtitles, locations, experience, education, and avatars.

Scrape LinkedIn Posts

Collect LinkedIn posts directly or discover posts from company, profile, and article-feed URLs, returning text, media, dates, and engagement.

Scrape LinkedIn Profiles

Collect structured LinkedIn person profiles, including identity, location, company, follower, education, and public career data.

L.L.Bean Products

Collect llbean.

L.L.Bean Products - Unified Schema

Collect LLBean.

Scrape Macys.com - Reviews

Collect Macys.

Macy's Products

Collect Macys.

Scrape Macys Products unified schema

Collect Macys Products unified schema.

Scrape Massimo Dutti - Products

Collect Massimo Dutti - Products .

Massimo Dutti Products - Unified Schema

Collect Massimodutti.

Scrape Meta - Ad Library

Collect Meta - Ad Library .

Scrape Overstock.com - Reviews

Collect Overstock.

Overstock Products

Collect Overstock.

Scrape Overstock Products unified schema

Collect Overstock Products unified schema.

Scrape Pinterest - Posts

Collect Pinterest - Posts .

Scrape Pinterest - Profiles

Collect Pinterest - Profiles.

Poshmark Products

Collect Poshmark.

Scrape Poshmark Products unified schema

Collect Poshmark Products unified schema.

Scrape Reddit - Comments

Collect Reddit - Comments.

Scrape Reddit- Posts

Collect Reddit- Posts.

Scrape Reddit - Profiles

Collect Reddit - Profiles.

Scrape Snapchat posts

Collect Snapchat posts.

Scrape Snapchat profile

Collect Snapchat profile.

Scrape Threads - Posts

Collect Threads - Posts.

Scrape Threads - Profiles

Collect Threads - Profiles.

Scrape TikTok Comments

Collect TikTok comments with text, dates, likes, replies, commenter identity, and source-post details.

Scrape TikTok Posts

Collect TikTok posts with the full post dataset.

TikTok - Posts by URL Fast API

Collect individual TikTok post URLs with the fast dataset.

Scrape TikTok Profile Posts Fast

Discover TikTok posts from profile URLs with the fast profile-post dataset.

TikTok - Profiles

Collect structured TikTok - Profiles data from tiktok.

Scrape TikTok Search Posts Fast

Discover TikTok posts from search or discovery URLs with the fast search-post dataset.

TikTok Shop

Collect structured TikTok Shop data from tiktok.

TikTok Shop Category Products

Collect structured TikTok Shop Category Products data from tiktok.

Scrape Trip.com - Flights (mobile-app)

Collect Trip.

Trip.com Hotel Listings

Collect Trip Hotel Listings.

Scrape Trip.com - Hotels (mobile-app)

Collect Trip.

Trip.com Listings Search

Collect Trip Listings Search.

Scrape Walmart - products

Collect Walmart - products .

Scrape Walmart products search

Collect Walmart products search.

Scrape Walmart - products zipcodes

Collect Walmart product URLs with zipcode-specific availability and pricing.

Scrape Walmart Reviews

Collect Walmart Reviews.

Scrape Walmart sellers info

Collect Walmart sellers info.

X Posts

Collect X (formerly Twitter) - Posts.

X Profiles

Collect X (formerly Twitter) - Profiles.

Scrape Yelp businesses overview

Collect Yelp businesses overview.

Scrape Yelp businesses reviews

Collect Yelp businesses reviews.

Scrape YouTube - Channels

Collect YouTube - Channels.

Scrape Youtube - Comments

Collect Youtube - Comments.

YouTube Videos

Collect Youtube - Videos posts.

Scrape Zara Home Products

Collect Zara Home Products.

Scrape Zara Home products

Collect Zara Home products.

Scrape Zara - Products

Collect Zara - Products .

Zara Products - Unified Schema

Collect Zara.

Zillow Properties

Collect full property details for Zillow property URLs.

Zillow Property Listings

Collect Zillow listing URLs or discover property listings from filters or search URLs.

Zillow Property Price History

Collect the price-history timeline for Zillow property URLs.

Zillow Property Search Results

Collect Zillow search-page URLs into search-result property records.

Search Business Records

Search public company or professional-profile records synchronously using structured queries in Ludicrous mode or natural language in Instant/Smart mode.

Search Dataset Synchronously

Search a supported LinkedIn profiles, contact-enriched profiles, or companies Marketplace dataset and return matching records synchronously.

Search SERP Synchronously

Search Google, Bing, DuckDuckGo or Yandex synchronously for standard text results.

Search Web Archive

Search Bright Data's Web Archive and estimate matching files, dump size in bytes, and dump cost in USD.

Search SERP

Submit an asynchronous SERP search and return its response_id.

Start Deep Lookup

Start an asynchronous Deep Lookup research request and return its request_id.

Scrape Protected URL

Scrape a public URL through Web Unlocker when ordinary requests are blocked or require JavaScript rendering.

FRAMEWORKS

How to build Brightdata MCP Agent with another framework

Claude Code

Use Brightdata MCP with Claude Code

Cursor

Use Brightdata MCP with Cursor

ChatGPT

Use Brightdata MCP with ChatGPT

Claude Cowork

Use Brightdata MCP with Claude Cowork

Antigravity

Use Brightdata MCP with Antigravity

OpenAI Agents SDK

Use Brightdata MCP with OpenAI Agents SDK

Claude Agent SDK

Use Brightdata MCP with Claude Agent SDK

Codex

Use Brightdata MCP with Codex

Grok Build

Use Brightdata MCP with Grok Build

VS Code

Use Brightdata MCP with VS Code

OpenCode

Use Brightdata MCP with OpenCode

OpenClaw

Use Brightdata MCP with OpenClaw

Hermes

Use Brightdata MCP with Hermes

Atomic Agent

Use Brightdata MCP with Atomic Agent

Pi

Use Brightdata MCP with Pi

DeepSeek Harness

Use Brightdata MCP with DeepSeek Harness

Google ADK

Use Brightdata MCP with Google ADK

LangChain

Use Brightdata MCP with LangChain

Mastra AI

Use Brightdata MCP with Mastra AI

LlamaIndex

Use Brightdata MCP with LlamaIndex

CrewAI

Use Brightdata MCP with CrewAI

Pydantic AI

Use Brightdata MCP with Pydantic AI

AutoGen

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

Yes, you can. Vercel AI SDK v6 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 Brightdata tools.

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

Start with Brightdata.It takes 30 seconds.

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

Start building

How to integrate Brightdata MCP with Vercel AI SDK v6

Connect Brightdata without auth hassles

Introduction

Also integrate Brightdata with

TL;DR

What is Vercel AI SDK?

What is the Brightdata 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 required dependencies

Set up environment variables

Import required modules and validate environment

Create Tool Router session and initialize MCP client

Connect to MCP server and retrieve tools

Initialize conversation and CLI interface

Handle user input and stream responses with real-time tool feedback

Complete Code

Conclusion

Supported Tools

How to build Brightdata 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

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Firecrawl

Tavily

Exa

Serpapi

Frequently asked questions

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

Can I use Tool Router MCP with Vercel AI SDK v6?

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

How safe is my data with Composio Tool Router?

Start with Brightdata.It takes 30 seconds.