Bright Data's Web MCP server enabling AI agents to search, extract & navigate the web
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Web search, page scraping, structured data extraction, and browser automation for AI agents and LLMs over the Model Context Protocol.
Works with AI agents, coding agents, chat assistants, and any MCP-compatible client.
Quick Start β’ Pricing β’ Use Cases β’ Tools β’ Agent Skills β’ Docs β’ Support
Free tier: 5,000 requests per month. No credit card required. Renews monthly.
The Bright Data MCP server gives AI agents real-time access to public web data. It exposes 69 tools covering:
Every request is routed through Bright Data's unblocking infrastructure, so pages that block ordinary HTTP clients (bot detection, CAPTCHAs, rate limits, geo-restrictions) return normally. No proxy setup, no headless browser maintenance, no retry logic to write.
Two deployment options: a hosted remote server (one URL, no installation) or a local instance via npx @brightdata/mcp.
Hosted server β no installation. Add this URL to your MCP client:
Get your API token from your Bright Data account settings. New accounts get 5,000 free requests per month.
Optional URL parameters:
| Parameter | Description | Example |
|---|---|---|
groups=<ids> | Enable specific tool groups | ...&groups=social,ecommerce |
tools=<names> | Enable specific tools only | ...&tools=search_engine,scrape_as_markdown |
Bright Datahttps://mcp.brightdata.com/mcp?token=YOUR_API_TOKENOr run locally:
Add to ~/.cursor/mcp.json:
Add to .vscode/mcp.json:
Add to ~/.codeium/windsurf/mcp_config.json:
Add to ~/.gemini/settings.json:
Add to your Zed settings:
Go to Settings > MCP Servers > Add MCP Server and add:
For any client that supports local MCP servers:
Every account includes a recurring monthly free tier. No credit card or commitment required to start.
5,000 free requests per month, renewing on the 1st of each month. Unused requests don't roll over. For team accounts, the free tier is shared across all users in the account.
What's included free:
Beyond the free tier β pay as you go, no commitment:
| Search, Scrape & Extract | Browser Navigation | |
|---|---|---|
| Pay as you go | $1.50 / 1K results | $8 / GB |
Full pricing, volume plans and enterprise β
Answer questions using live web data instead of training data. Search, then read the sources.
| Task | Tools |
|---|---|
| Search the web for current information | search_engine, search_engine_batch |
| Read a specific page as clean Markdown | scrape_as_markdown, scrape_batch |
| Find the most relevant sources for a research question, ranked by AI relevance score | discover |
Example prompts: "What's Tesla's current stock price?", "Get today's weather forecast for New York", "Find the most cited sources on EU AI regulation from the last 6 months".
Read product data as structured JSON: price, availability, rating, review count, seller, images.
| Task | Tools |
|---|---|
| Amazon product details, reviews, search results | web_data_amazon_product, web_data_amazon_product_reviews, web_data_amazon_product_search |
| Walmart, eBay, Best Buy, Etsy, Home Depot, Zara products | web_data_walmart_product, web_data_ebay_product, web_data_bestbuy_products, web_data_etsy_products, web_data_homedepot_products, web_data_zara_products |
| Cross-retailer price view | web_data_google_shopping |
| Seller profiles | web_data_walmart_seller |
Example prompts: "Compare this laptop's price on Amazon vs Walmart vs Best Buy", "Get the rating and review count for ASIN B0D2Q9397Y", "Is this product in stock?".
Build competitor profiles from live data: funding, headcount, hiring, customer reviews, pricing pages.
| Task | Tools |
|---|---|
| Company funding, investors, size | web_data_crunchbase_company, web_data_zoominfo_company_profile |
| Company pages, employees, job postings | web_data_linkedin_company_profile, web_data_linkedin_job_listings |
| Customer sentiment | web_data_google_maps_reviews, web_data_facebook_company_reviews, app store review tools |
| Competitor pricing pages | scrape_as_markdown, scrape_batch |
| Market discovery | search_engine_batch, discover |
Example prompt: "Analyze Notion as a competitor: pricing, funding, hiring focus, and what customers complain about".
Replace built-in fetch/search tools that get blocked on protected sites. Every request goes through unblocking infrastructure, so agents don't fail on bot detection, CAPTCHAs, or geo-restrictions.
| Task | Tools |
|---|---|
| Drop-in replacement for built-in web search | search_engine |
| Drop-in replacement for built-in URL fetch | scrape_as_markdown |
| Parallel data collection (10 at a time) | search_engine_batch, scrape_batch |
| Interactive sites (login walls, infinite scroll, dynamic content) | scraping_browser_* (13 tools) |
| Structured JSON from any page, no schema needed | extract |
Package registry data on demand β no scraping, no stale caches.
| Task | Tools |
|---|---|
| npm package version, README, dependencies, metadata | web_data_npm_package |
| PyPI package version, README, dependencies, metadata | web_data_pypi_package |
| Read files from GitHub repositories | web_data_github_repository_file |
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