Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Bright Data's Web MCP server enabling AI agents to search, extract & navigate the web
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
API_TOKEN, BROWSER_ZONE, GROUPS, TOOLS, BASE_TIMEOUT, BASE_MAX_RETRIESValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
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/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
BROWSER_ZONE envGROUPS envTOOLS envBASE_TIMEOUT envBASE_MAX_RETRIES envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account brightdata, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: API_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (4.6.0) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
The Bright Data MCP server gives AI agents real-time access to public web data. It exposes 30 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 — 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:
| Parameter | Description | Example |
|---|---|---|
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
Bright Datahttps://mcp.brightdata.com/mcp?token=YOUR_API_TOKENOr 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": " " } } } }
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 — 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 →
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 |
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 |
|---|---|
| Products, reviews and search results from Amazon, Walmart, eBay, Best Buy, Etsy, Home Depot, Zara and other stores | search_scrapers → get_scraper_details → run_scraper |
| Cross-retailer price view | the 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?".
Build competitor profiles from live data: funding, headcount, hiring, customer reviews, pricing pages.
| Task | Tools |
|---|---|
| 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 pages | scrape_as_markdown, scrape_batch |
| Market discovery | search_engine_batch |
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 (5 at a time) | search_engine_batch, scrape_batch |
| Interactive sites (login walls, infinite scroll, dynamic content) | scraping_browser_* (14 tools) |
Package registry data on demand — no scraping, no stale caches.
| Task | Tools |
|---|---|
| npm and PyPI package version, README, metadata | run_scraper with the npmjs or pypi scraper (find them with search_scrapers) |
| Read files from GitHub repositories | run_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".
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.
| Task | Tools |
|---|---|
| ChatGPT answers with citations and recommendations | chatgpt_ai_insights |
| Perplexity answers with sources | perplexity_ai_insights |
Example prompt: "Ask ChatGPT and Perplexity 'what is the best proxy provider' and compare how each one ranks us".
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.
| Platform | Examples of scrapers |
|---|---|
| person profiles, company profiles, job listings, posts, people search | |
| profiles, posts, reels, comments | |
| TikTok | profiles, posts, shop, comments |
| profiles, posts, marketplace listings, company reviews, events | |
| YouTube | videos, channels, comments |
| X (Twitter) | posts, posts by profile |
| posts, comments |
Example prompt: "Get the last 10 posts from this TikTok profile and summarize the engagement".
Gather source material from many pages at once, filtered by recency and relevance.
| Task | Tools |
|---|---|
| Collect multiple sources in one call | scrape_batch (up to 5 URLs) |
| News and finance data | search_engine with news queries, run_scraper with the Yahoo Finance scraper |
| Capability | Bright Data MCP | Typical web MCP servers |
|---|---|---|
| Total tools | 30 | 2–10 |
| Platform-specific structured JSON extractors | 1,200+ pre-built scrapers across e-commerce, social, business, finance, travel, app stores, through 6 tools | Rare; generic scraping only |
| Unblocking (bot detection bypass, CAPTCHA solving, proxy rotation) | Built into every request | Usually none; blocked on protected sites |
| Search engines | Bing, Google | Usually one |
| Browser automation | 14 tools, remote browser, no local setup | Limited or none |
| LLM response collection (ChatGPT, Perplexity) | Yes | Not offered |
| Package registry data (npm, PyPI) | Yes | Not offered |
| Batch operations | 10 searches or 10 scrapes per call
Only the beginning is shown; read the rest in the repo