How to integrate Brightdata MCP with Mastra AI

Connect Mastra AI 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.

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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.

23 Tools

Introduction

This guide walks you through connecting Brightdata to Mastra AI using the Composio tool router. By the end, you'll have a working Brightdata agent that can download all product listings from this ecommerce site, check crawl status for your recent job, perform google serp search for latest news through natural language commands.

This guide will help you understand how to give your Mastra AI 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.

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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 Brightdata tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Brightdata 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 Brightdata 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 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:

  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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

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 Brightdata through MCP.
3

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
4

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
5

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
6

Create a Tool Router session for Brightdata

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

  const composioMCPUrl = session.mcp.url;
  console.log("Brightdata MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "brightdata" for Brightdata access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

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 Brightdata toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "brightdata-mastra-agent",
    instructions: "You are an AI agent with Brightdata 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
9

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: {
        brightdata: 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 Brightdata 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 Brightdata 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: ["brightdata"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "brightdata-mastra-agent",
    instructions: "You are an AI agent with Brightdata 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: { brightdata: 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 Brightdata 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 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.

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.

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 Data Synchronously

Scrape up to 20 input objects synchronously.

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.

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. 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 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.

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