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[AUTO] Adding MCP Servers docs update #841

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20 changes: 20 additions & 0 deletions app/en/resources/integrations/databases/_meta.tsx
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Original file line number Diff line number Diff line change
@@ -1,6 +1,26 @@
import type { MetaRecord } from "nextra";

const meta: MetaRecord = {
"-- Optimized": {
type: "separator",
title: "Optimized",
},
clickhouse: {
title: "Clickhouse",
href: "/en/resources/integrations/databases/clickhouse",
},
mongodb: {
title: "MongoDB",
href: "/en/resources/integrations/databases/mongodb",
},
postgres: {
title: "Postgres",
href: "/en/resources/integrations/databases/postgres",
},
"-- Starter": {
type: "separator",
title: "Starter",
},
"weaviate-api": {
title: "Weaviate API",
href: "/en/resources/integrations/databases/weaviate-api",
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2 changes: 1 addition & 1 deletion next-env.d.ts
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
/// <reference types="next" />
/// <reference types="next/image-types/global" />
import "./.next/dev/types/routes.d.ts";
import "./.next/types/routes.d.ts";

// NOTE: This file should not be edited
// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
10 changes: 5 additions & 5 deletions toolkit-docs-generator/data/toolkits/brightdata.json
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@@ -1,7 +1,7 @@
{
"id": "Brightdata",
"label": "Bright Data",
"version": "0.4.0",
"version": "0.5.0",
"description": "Search, Crawl and Scrape any site, at scale, without getting blocked",
"metadata": {
"category": "development",
Expand All @@ -18,7 +18,7 @@
{
"name": "ScrapeAsMarkdown",
"qualifiedName": "Brightdata.ScrapeAsMarkdown",
"fullyQualifiedName": "Brightdata.ScrapeAsMarkdown@0.4.0",
"fullyQualifiedName": "Brightdata.ScrapeAsMarkdown@0.5.0",
"description": " Scrape a webpage and return content in Markdown format using Bright Data.\n\n Examples:\n scrape_as_markdown(\"https://example.com\") -> \"# Example Page\n\nContent...\"\n scrape_as_markdown(\"https://news.ycombinator.com\") -> \"# Hacker News\n...\"\n ",
"parameters": [
{
Expand Down Expand Up @@ -83,7 +83,7 @@
{
"name": "SearchEngine",
"qualifiedName": "Brightdata.SearchEngine",
"fullyQualifiedName": "Brightdata.SearchEngine@0.4.0",
"fullyQualifiedName": "Brightdata.SearchEngine@0.5.0",
"description": " Search using Google, Bing, or Yandex with advanced parameters using Bright Data.\n\n Examples:\n search_engine(\"climate change\") -> \"# Search Results\n\n## Climate Change - Wikipedia\n...\"\n search_engine(\"Python tutorials\", engine=\"bing\", num_results=5) -> \"# Bing Results\n...\"\n search_engine(\"cats\", search_type=\"images\", country_code=\"us\") -> \"# Image Results\n...\"\n ",
"parameters": [
{
Expand Down Expand Up @@ -281,7 +281,7 @@
{
"name": "WebDataFeed",
"qualifiedName": "Brightdata.WebDataFeed",
"fullyQualifiedName": "Brightdata.WebDataFeed@0.4.0",
"fullyQualifiedName": "Brightdata.WebDataFeed@0.5.0",
"description": "Extract structured data from various websites like LinkedIn, Amazon, Instagram, etc.\nNEVER MADE UP LINKS - IF LINKS ARE NEEDED, EXECUTE search_engine FIRST.\nSupported source types:\n- amazon_product, amazon_product_reviews\n- linkedin_person_profile, linkedin_company_profile\n- zoominfo_company_profile\n- instagram_profiles, instagram_posts, instagram_reels, instagram_comments\n- facebook_posts, facebook_marketplace_listings, facebook_company_reviews\n- x_posts\n- zillow_properties_listing\n- booking_hotel_listings\n- youtube_videos\n\nExamples:\n web_data_feed(\"amazon_product\", \"https://amazon.com/dp/B08N5WRWNW\")\n -> \"{\"title\": \"Product Name\", ...}\"\n web_data_feed(\"linkedin_person_profile\", \"https://linkedin.com/in/johndoe\")\n -> \"{\"name\": \"John Doe\", ...}\"\n web_data_feed(\n \"facebook_company_reviews\", \"https://facebook.com/company\", num_of_reviews=50\n ) -> \"[{\"review\": \"...\", ...}]\"",
"parameters": [
{
Expand Down Expand Up @@ -411,6 +411,6 @@
"documentationChunks": [],
"customImports": [],
"subPages": [],
"generatedAt": "2026-02-26T20:45:10.376Z",
"generatedAt": "2026-02-28T11:11:27.185Z",
"summary": "Bright Data provides a developer toolkit for large-scale web search, crawling, and scraping, enabling reliable extraction of pages and structured data without getting blocked. It supports search queries, content-to-Markdown conversion, and configurable data feeds across many site types.\n\nDesigned for integration into data pipelines and analytics workflows with parameterized feeds and output formats.\n\n**Capabilities**\n- Scale-resistant crawling and scraping with anti-blocking behavior for sustained collection.\n- Flexible search engine queries with advanced parameters across major engines.\n- Transform pages into clean Markdown and emit structured JSON feeds for profiles, products, reviews, listings, and media.\n- Configurable extraction parameters for batching, pagination, and media handling.\n\n**Secrets**\n- API key (BRIGHTDATA_API_KEY) and zone token (BRIGHTDATA_ZONE). Example values: BRIGHTDATA_API_KEY=sk_..., BRIGHTDATA_ZONE=zone123."
}
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