ZBS Index What actually exists in applied AI, with the source next to it

mcp server

io.github.brightdata/brightdata-mcp

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

Description as published by the maintainer. Source

  • version 2.11.1
  • active
  • data extraction
  • retrieval

active — Most recent push to the repository was 2026-07-27. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 2,564 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-07-27 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 20 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 2.11.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-27 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-07-27 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • ai.smithery/oxylabs-oxylabs-mcp — last commit 2026-06-08, shares data-collection, scraping
    Fetch and process content from specified URLs using the Oxylabs Web Scraper API.
  • Jitsu — last commit 2026-08-06, shares data-collection
    Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.
  • io.github.cyanheads/survey-mcp-server — last commit 2025-10-20, shares data-collection
    MCP server for conducting dynamic, conversational surveys with structured data collection.
  • ai.sitepulsar/mcp — last commit 2026-06-10, shares structured-data
    SitePulsar AEO audits: fetch FIND/READ/USE agent-readiness scores for any website.
  • Librecrawl — Technical SEO Audit MCP Server — last commit 2026-07-28, shares structured-data
    Self-hosted technical SEO audit MCP. 50+ checks, WAF detection, ephemeral. Built on LibreCrawl.
  • io.github.blackwell-systems/gcf-proxy — last commit 2026-07-13, shares structured-data
    Drop-in MCP proxy. 71% fewer tokens. Session dedup compounds to 92%. Zero code changes.
  • io.github.builtbyabs/shopify-geo-audit — last commit 2026-07-21, shares structured-data
    Audit any Shopify store for AI search (GEO/AEO) readiness and generate the fixes. No signup.
  • Scrapling MCP Server — last commit 2026-08-06, shares data-extraction, scraping, web-scraping
    Web scraping with stealth HTTP, real browsers, and Cloudflare bypass. CSS selectors supported.
  • com.scrapeunblocker/scrapeunblocker-mcp — last commit 2026-08-06, shares scraping, web-scraping
    Fetch any web page's HTML or AI-parsed JSON through the ScrapeUnblocker anti-bot API.
  • io.alterlab/mcp-server — last commit 2026-08-05, shares scraping, web-scraping
    Web scraping MCP server — scrape, extract structured data, screenshot any site with anti-bot bypass.

These share tags the maintainers applied themselves, such as data-collection, scraping, structured-data, data-extraction. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from brightdata

How the author describes it

Topics the maintainer set on GitHub: ai-agents, ai-integrations, anti-bot-detection, browser-automation, data-collection, data-extraction, llm, mcp, mcp-server, modelcontextprotocol, scraping, scraping-tools, structured-data, web-crawling, web-data, web-scraping.

Bring your own setup

We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.

Join ZBS AI Practice Lab

Sources

  1. brightdata/brightdata-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.