[AUTO] Adding MCP Servers docs update (#841)

Co-authored-by: jottakka <203343514+jottakka@users.noreply.github.com>

Author: evantahler

app/en/resources/integrations/databases/_meta.tsx

@@ -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",

next-env.d.ts

@@ -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.

toolkit-docs-generator/data/toolkits/brightdata.json

@@ -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",
@@ -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": [
         {
@@ -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": [
         {
@@ -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": [
         {
@@ -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."
 }