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Bright Data MCP Server

The Bright Data MCP Server is an open-source Model Context Protocol (MCP) server that connects AI agents and coding assistants to Bright Data's web data infrastructure. It exposes over 60 tools covering real-time web search, page navigation, structured data extraction, and managed browser automation, all accessible from within Claude, Claude Code, Cursor, and other MCP-compatible environments.

General
DeveloperBright Data
TypeMCP Server for AI Agent Web Access
Tools60+
LicenseOpen-source
GitHubbrightdata/brightdata-mcp
Documentationdocs.brightdata.com/ai/mcp-server

Core Features

  • 60+ AI-ready tools: tools for web search, page scraping, structured data extraction from 120+ sites, and browser automation, all callable from AI agents via MCP.
  • Real-time web access: agents retrieve live data from the open web, not cached or static snapshots.
  • Claude and Claude Code integration: configures directly into Claude Desktop or Claude Code via MCP server settings; no additional code required.
  • Claude Skills support: the brightdata skill teaches Claude how to select the right tool, handle errors, and follow best practices across the full tool surface.
  • Scraping Browser access: the MCP server can drive a managed Playwright/Puppeteer browser for JavaScript-heavy pages.
  • SERP and structured extraction: search engines and 100+ site-specific scrapers are available as discrete tools.

Supported Environments

EnvironmentIntegration
Claude DesktopDocs
Claude CodeBlog guide
Claude Agent SDKBlog guide
CursorMCP server config
ComposioToolkit

Tools and Resources


Ecosystem and Integrations

  • Works with any MCP-compatible client, including Claude Code, Cursor, Windsurf, and custom agent frameworks.
  • Pairs with the Python SDK and JavaScript SDK for programmatic access outside of agent contexts.
  • The MCP server delegates requests to Bright Data's proxy and unblocking infrastructure, so agents bypass bot detection without additional configuration.

Install and configure the MCP server from github.com/brightdata/brightdata-mcp, or follow the Claude Desktop integration guide to get started in minutes.

Bright Data Bright Data MCP Server AI technology Hackathon projects

Discover innovative solutions crafted with Bright Data Bright Data MCP Server AI technology, developed by our community members during our engaging hackathons.

ROGUE: Open-web LLM Threat Intelligence Agent

ROGUE: Open-web LLM Threat Intelligence Agent

A new way to jailbreak AI appears on Reddit, X, or arXiv almost every day. By the time a quarterly red-team catches it, it has already worked on a production chatbot. ROGUE closes that gap , the red-team that never sleeps. ROGUE is an autonomous red-team agent. It continuously harvests new LLM attacks from 19 live open-web sources β€” Reddit/X jailbreak communities, arXiv, GitHub (the Pliny umbrella), HuggingFace, MITRE ATLAS, OWASP, and vendor safety blogs β€” then reproduces each against YOUR deployment: your system prompt, your declared tools, your target model, scored together. Not a bare model. Not a frozen test bank. Your actual setup, against today's attacks. It's the only project here using Bright Data MCP on BOTH sides. As a consumer, the discovery agent reasons over Bright Data's MCP tools (Web Scraper, SERP, Web Unlocker, Scraping Browser) to reach sources that block bots. As a producer, ROGUE exposes its own MCP server. Try it now ,the dashboard has one-click "Add to Cursor / VS Code" buttons, and the hosted endpoint (rogue-api-mr5w.onrender.com/mcp) needs zero setup. Connect it and ask, from your own IDE, "what new attacks broke our support bot in the last 24 hours?" β€” live, during judging. The numbers are real, not a demo fixture. One live sweep: 8,321 breach trials across 6 deployment configs, a 16.5Γ— vulnerability spread between weakest and strongest model. A separate judge scores every trial (REFUSED / EVADED / PARTIAL / FULL) and is calibrated against blind human labels, 98% breach-axis agreement, validated on WildGuardTest and StrongREJECT, not "trust the AI." Bright Data spend: $0.15 per detected breach. Publication-to-breach: ~2 minutes. It also red-teams multimodally, rendering text attacks as images and audio, because a jailbreak refused as text often succeeds as a picture of that text. Built solo in 6 days. Prior: GPTFuzz Grand Prize (Yonsei, 2024) and adversarial-ML research at AIM Intelligence.