原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Brightdata MCP

作者:brightdata版本 4.6.0i★ –i在你的电脑上运行
注册名称io.github.brightdata/brightdata-mcp

安装

概览

作者提供的说明(英文原文)

Bright Data's Web MCP server enabling AI agents to search, extract & navigate the web

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆
  • 你需要填写:API_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: API_TOKEN, BROWSER_ZONE, GROUPS, TOOLS, BASE_TIMEOUT, BASE_MAX_RETRIES

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "brightdata": {
      "command": "npx",
      "args": [
        "-y",
        "@brightdata/mcp"
      ],
      "env": {
        "API_TOKEN": "your-value",
        "BROWSER_ZONE": "your-value",
        "GROUPS": "your-value",
        "TOOLS": "your-value",
        "BASE_TIMEOUT": "your-value",
        "BASE_MAX_RETRIES": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add brightdata --env API_TOKEN=your-value --env BROWSER_ZONE=your-value --env GROUPS=your-value --env TOOLS=your-value --env BASE_TIMEOUT=your-value --env BASE_MAX_RETRIES=your-value -- npx -y @brightdata/mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "brightdata": {
      "command": "npx",
      "args": [
        "-y",
        "@brightdata/mcp"
      ],
      "env": {
        "API_TOKEN": "your-value",
        "BROWSER_ZONE": "your-value",
        "GROUPS": "your-value",
        "TOOLS": "your-value",
        "BASE_TIMEOUT": "your-value",
        "BASE_MAX_RETRIES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "brightdata": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@brightdata/mcp"
      ],
      "env": {
        "API_TOKEN": "your-value",
        "BROWSER_ZONE": "your-value",
        "GROUPS": "your-value",
        "TOOLS": "your-value",
        "BASE_TIMEOUT": "your-value",
        "BASE_MAX_RETRIES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • API_TOKEN 机密 必填 env
    Your API key for Bright Data
  • BROWSER_ZONE env
    Your browser zone name
  • GROUPS env
    Comma-separated tool group IDs (e.g., 'ecommerce,browser')
  • TOOLS env
    Comma-separated tool names to enable
  • BASE_TIMEOUT env
    Request timeout in seconds for base tools (search & scrape). No limit if unset
  • BASE_MAX_RETRIES env
    Max retries for base tools on transient errors (0-3, default: 0)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 brightdata 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7231 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7231 个服务器的 97% 更新
  • 基础检查结果等于或优于此分类中其他 7231 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Brightdata MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:API_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(4.6.0)于昨天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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 30 tools covering:

  • Web search — Bing and Google 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 (Web Scraper API) — clean JSON from 1,200+ pre-built scrapers: Amazon, LinkedIn, Instagram, TikTok, YouTube, X, Reddit, Facebook, Crunchbase, Zillow, npm, PyPI and more, without parsing HTML. Six tools find and run any of them
  • Browser automation — navigate, click, type, screenshot, and read pages in a remote browser session
  • LLM response collection — send prompts to ChatGPT and Perplexity and get their answers back as structured data

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:

ParameterDescriptionExample
groups= Limit to specific tool groups (default: all tools)...&groups=scrapers,browser
tools= Limit to specific tools...&tools=search_engine,scrape_as_markdown

Claude Desktop

  1. Go to: Settings → Connectors → Add custom connector
  2. Name: Bright Data
  3. URL: https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN
  4. Click "Add"

Or run locally:

{

"mcpServers": { "Bright Data": { "command": "npx", "args": ["@brightdata/mcp"], "env": { "API_TOKEN": " " } } } }

Claude Code

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

Cursor

Add to ~/.cursor/mcp.json:

{

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

VS Code

Add to .vscode/mcp.json:

{

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

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{

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

Gemini CLI

Add to ~/.gemini/settings.json:

{

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

Zed

Add to your Zed settings:

{

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

Warp

Go to Settings > MCP Servers > Add MCP Server and add:

{

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

Other clients (local npx)

For any client that supports local MCP servers:

{

"mcpServers": { "Bright Data": { "command": "npx", "args": ["@brightdata/mcp"], "env": { "API_TOKEN": " " } } } }


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 (Bing, Google)
  • Web unlocking (bot detection bypass, CAPTCHA solving, proxy rotation)
  • Browser automation
  • Geo-targeting

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

Search, Scrape & ExtractBrowser Navigation
Pay as you go$1.50 / 1K results$8 / GB
  • 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.

TaskTools
Search the web for current informationsearch_engine, search_engine_batch
Read a specific page as clean Markdownscrape_as_markdown, scrape_batch

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.

TaskTools
Products, reviews and search results from Amazon, Walmart, eBay, Best Buy, Etsy, Home Depot, Zara and other storessearch_scrapers → get_scraper_details → run_scraper
Cross-retailer price viewthe same flow with the Google Shopping scraper

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.

TaskTools
Company funding, size, employees, job postings (Crunchbase, ZoomInfo, LinkedIn)search_scrapers → run_scraper
Customer sentiment (Google Maps, Facebook, app store reviews)search_scrapers → run_scraper
Competitor pricing pagesscrape_as_markdown, scrape_batch
Market discoverysearch_engine_batch

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.

TaskTools
Drop-in replacement for built-in web searchsearch_engine
Drop-in replacement for built-in URL fetchscrape_as_markdown
Parallel data collection (5 at a time)search_engine_batch, scrape_batch
Interactive sites (login walls, infinite scroll, dynamic content)scraping_browser_* (14 tools)
Coding agents

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

TaskTools
npm and PyPI package version, README, metadatarun_scraper with the npmjs or pypi scraper (find them with search_scrapers)
Read files from GitHub repositoriesrun_scraper with the GitHub repository scraper

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.

TaskTools
ChatGPT answers with citations and recommendationschatgpt_ai_insights
Perplexity answers with sourcesperplexity_ai_insights

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

Social media monitoring

Structured data from every major platform: profiles, posts, comments, engagement metrics. Each platform has scrapers per data type (LinkedIn profiles, Instagram reels, TikTok comments, ...); find them with search_scrapers and run them with run_scraper.

PlatformExamples of scrapers
LinkedInperson profiles, company profiles, job listings, posts, people search
Instagramprofiles, posts, reels, comments
TikTokprofiles, posts, shop, comments
Facebookprofiles, posts, marketplace listings, company reviews, events
YouTubevideos, channels, comments
X (Twitter)posts, posts by profile
Redditposts, comments

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.

TaskTools
Collect multiple sources in one callscrape_batch (up to 5 URLs)
News and finance datasearch_engine with news queries, run_scraper with the Yahoo Finance scraper

How It Compares

CapabilityBright Data MCPTypical web MCP servers
Total tools302–10
Platform-specific structured JSON extractors1,200+ pre-built scrapers across e-commerce, social, business, finance, travel, app stores, through 6 toolsRare; generic scraping only
Unblocking (bot detection bypass, CAPTCHA solving, proxy rotation)Built into every requestUsually none; blocked on protected sites
Search enginesBing, GoogleUsually one
Browser automation14 tools, remote browser, no local setupLimited or none
LLM response collection (ChatGPT, Perplexity)YesNot offered
Package registry data (npm, PyPI)YesNot offered

| Batch operations | 10 searches or 10 scrapes per call

只显示了开头部分;其余内容请在仓库中阅读

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