Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Bright Data's Web MCP server enabling AI agents to search, extract & navigate the web
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
API_TOKEN, BROWSER_ZONE, GROUPS, TOOLS, BASE_TIMEOUT, BASE_MAX_RETRIESLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
}
}
}
}Ejecuta esto en tu 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/mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
BROWSER_ZONE envGROUPS envTOOLS envBASE_TIMEOUT envBASE_MAX_RETRIES envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub brightdata, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: API_TOKEN
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (4.6.0) llegó al registro ayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo