mcp-bright-data-demo

pravinkpk30/mcp-bright-data-demo

3.1

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MCP server powered by Bright Data Web Scraper with multi-agent orchestration.

MCP Server with Bright Data Web Scraper & Multi-Agent Orchestration

This project provides an MCP (Model Context Protocol) server integrated with Bright Data’s Web Scraper API, designed to enable scalable, intelligent, and context-aware data workflows. It acts as a bridge between web data extraction and multi-agent orchestration, allowing AI-powered agents to collaborate seamlessly in real time.

At its core, the MCP server connects to Bright Data’s Web Scraper, enabling structured, geo-targeted, and reliable data collection from the web. The scraped data is not just raw information—it is transformed into actionable context that can be consumed by multiple AI agents. These agents are designed to perform specialized roles such as data collection, enrichment, summarization, and decision-making. By orchestrating agents in parallel or sequential workflows, the system supports complex tasks that require both scalable data retrieval and intelligent reasoning.

The architecture follows a pluggable and extensible design, making it easy to add new tools, integrate additional APIs, or define custom agent behaviors. This flexibility makes it suitable for a wide variety of use cases, including:

  • Market Research & Competitor Analysis – Scrape and analyze product listings, pricing, and trends.
  • E-Commerce Automation – Track dynamic prices, update catalogs, and enrich product details.
  • Content Aggregation – Monitor news, blogs, or niche websites for real-time updates.
  • AI Research Assistants – Deploy multi-agent setups that scrape, analyze, and summarize insights autonomously.

By combining Bright Data’s robust scraping infrastructure with MCP’s structured communication protocol, this project creates a powerful foundation for building AI-native applications that interact with the web at scale. Whether you are developing research assistants, automation tools, or large-scale data pipelines, this solution provides the flexibility and intelligence needed to move from raw data to contextual insights.

Prerequisites

  • Python 3.11 or higher
  • Bright Data API Token
  • Google API Key
  • MCP Server
  • MCP Client
  • LangChain
  • LangGraph
  • LangChain MCP Adapters
  • LangChain Google Generative AI
  • LangGraph Supervisor
  • Google Generative AI

Installation

pip install -r requirements.txt

Usage

python main.py

License

MIT License

Author

Praveen Kumar