Bright Data MCP

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 • Pricing • Use Cases • Tools • Agent Skills • Docs • Support

Free tier: 5,000 requests per month. No credit card required. Renews monthly.

Overview

The Bright Data MCP server gives AI agents real-time access to public web data. It exposes 69 tools covering:

• Web search — Google, Bing, and Yandex results as structured data
• Page scraping — any URL as Markdown or HTML, with bot detection, CAPTCHA solving, and proxy rotation handled automatically on every request
• Structured data extraction — clean JSON from Amazon, LinkedIn, Instagram, TikTok, YouTube, X, Reddit, Facebook, Crunchbase, Zillow, and other major platforms, without parsing HTML
• Browser automation — navigate, click, type, screenshot, and read pages in a remote browser session
• LLM response collection — send prompts to ChatGPT, Grok, and Perplexity and get their answers back as structured data
• Package registry data — npm and PyPI package versions, READMEs, dependencies, and metadata

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.

Quick Start

Hosted server — no installation. Add this URL to your MCP client:

https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN_HERE

Get your API token from your Bright Data account settings. New accounts get 5,000 free requests per month.

Optional URL parameters:

{
  "mcpServers": {
    "Bright Data": {
      "command": "npx",
      "args": ["@brightdata/mcp"],
      "env": {
        "API_TOKEN": "<your-api-token-here>"
      }
    }
  }
}

claude mcp add --transport http brightdata "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"

{
  "mcpServers": {
    "brightdata": {
      "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}

{
  "servers": {
    "brightdata": {
      "type": "http",
      "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}

{
  "mcpServers": {
    "brightdata": {
      "serverUrl": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}

{
  "mcpServers": {
    "brightdata": {
      "httpUrl": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}

{
  "context_servers": {
    "brightdata": {
      "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}

{
  "brightdata": {
    "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
  }
}

{
  "mcpServers": {
    "Bright Data": {
      "command": "npx",
      "args": ["@brightdata/mcp"],
      "env": {
        "API_TOKEN": "<your-api-token-here>"
      }
    }
  }
}

Pricing and Free Tier

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:

• Fetch any webpage and extract as Markdown
• Access to 60+ pre-built scrapers for popular domains
• Web search (Google, Bing, Yandex)
• Web unlocking (bot detection bypass, CAPTCHA solving, proxy rotation)
• Browser automation
• Geo-targeting

Beyond the free tier — pay as you go, no commitment:

• When free requests run out, requests stop. No surprise charges — unless you have deposited funds
• Adding a credit card is a verification step only; you are not charged unless your free tier is exhausted and you have funds deposited
• Set a spend cap in the control panel so pay-as-you-go usage never exceeds your budget

Full pricing, volume plans and enterprise →

Use Cases

Real-time research

Answer questions using live web data instead of training data. Search, then read the sources.

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".

E-commerce intelligence

Read product data as structured JSON: price, availability, rating, review count, seller, images.

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?".

Market and competitor analysis

Build competitor profiles from live data: funding, headcount, hiring, customer reviews, pricing pages.

Example prompt: "Analyze Notion as a competitor: pricing, funding, hiring focus, and what customers complain about".

AI agents with reliable web access

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.

Coding agents

Package registry data on demand — no scraping, no stale caches.

Example prompts: "What's the latest version of express on npm?", "Get the README for the langchain-brightdata PyPI package".

GEO and brand visibility

Send prompts to major LLMs and get their answers back as structured data. Measure how AI assistants describe your brand, which sources they cite, and what they recommend — the feedback loop for Generative Engine Optimization.

Example prompt: "Ask ChatGPT, Grok, and Perplexity 'what is the best proxy provider' and compare how each one ranks us".

Social media monitoring

Structured data from seven platforms: profiles, posts, comments, engagement metrics.

Example prompt: "Get the last 10 posts from this TikTok profile and summarize the engagement".

Content creation and academic research

Gather source material from many pages at once, filtered by recency and relevance.

How It Compares

Tool Selection: Groups

Tools are organized into groups so you only load what you need. Fewer tools means less context for your agent to process.

• GROUPS enables tool bundles. Comma-separated: GROUPS="ecommerce,browser" (local) or &groups=ecommerce,browser (hosted URL)
• TOOLS adds individual tools on top: TOOLS="extract,scrape_as_html"
• Base tools are always enabled: search_engine, search_engine_batch, scrape_as_markdown, scrape_batch, discover
• Group ID custom is reserved; use TOOLS for individual picks

Configuration examples

Local server with browser automation and AI extraction:

{
  "mcpServers": {
    "Bright Data": {
      "command": "npx",
      "args": ["@brightdata/mcp"],
      "env": {
        "API_TOKEN": "<your-api-token-here>",
        "GROUPS": "browser,advanced_scraping",
        "TOOLS": "extract"
      }
    }
  }
}

Coding agent setup (Claude Code / Cursor / Windsurf) — npm and PyPI package data:

{
  "mcpServers": {
    "Bright Data": {
      "command": "npx",
      "args": ["@brightdata/mcp"],
      "env": {
        "API_TOKEN": "<your-api-token-here>",
        "GROUPS": "code"
      }
    }
  }
}

Tools Reference (69 Tools)

Which tool to use

• Known URL, need the content: scrape_as_markdown. Multiple URLs (up to 10): scrape_batch
• Need to find information: search_engine. Multiple queries (up to 10): search_engine_batch
• Deep research or RAG, need relevance-ranked sources: discover with an intent
• Page is on a supported platform (Amazon, LinkedIn, TikTok, etc.): use the matching web_data_* tool — returns clean JSON, faster and more reliable than scraping the same page
• Structured JSON from an unsupported page: extract
• Raw HTML: scrape_as_html
• Page requires interaction (click, type, scroll, login): scraping_browser_* tools
• npm/PyPI package info: web_data_npm_package / web_data_pypi_package — never scrape package registries
• How ChatGPT/Grok/Perplexity answer a prompt: web_data_chatgpt_ai_insights / web_data_grok_ai_insights / web_data_perplexity_ai_insights

Notes that apply to all web_data_* tools:

• Return structured JSON, billed per record returned
• Each tool validates its URL pattern; a wrong URL type fails (exact requirements in the tables below)
• Results can be large. Use built-in limits where available (num_of_comments, days_limit) and run bulk collection in a subagent where your framework supports it, so records don't flood the main context window
• If a web_data_* call fails, scrape_as_markdown works on the same URL as a fallback

Full tool reference in the docs →

Agent Skills

Ready-to-use skills that teach your agent how to use this MCP server correctly. The full