"A server for finding information about Artificial Intelligence (AI)" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Enables AI assistants like Claude Code and Cursor to get evidence-based tool and workflow recommendations from community data.

MCP server that wraps Shopify, Amazon, and Google Maps intelligence tools. AI agents pay autonomously in USDC on Base via x402 — no API keys or accounts needed.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables AI agents to investigate public URLs through evidence-first intelligence, including crawling, entity resolution, social discovery, SEO, technology detection, monitoring, reports, and optional AI reasoning.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

Gives AI agents ten website and domain research tools, including full domain reports, readable page extraction, DNS lookups, feed and sitemap parsing, link and metadata extraction, site checks, and redirect tracing. Calls are paid per use in USDC on Base via x402 from a configured wallet, so no account, API key, or subscription is required.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Analyzes a public webpage for SEO, metadata, and technical signals through 27 stdio tools, including a complete multi-analyzer call.

Provides AI agents with tools to detect website tech stacks, enrich company profiles, monitor sitemaps for new or changed URLs, check URL indexability, and retrieve EU fuel prices as clean JSON, billed per result.

Provides content intelligence tools for AI agents, including extraction, analysis, research, comparison, monitoring, and briefing, powered by free LLMs with pay-per-call or subscription pricing.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables research of businesses and companies by retrieving and synthesizing company mission, clients, leadership, culture, strategic focus, and recent news from official and external sources, and generating tailored application angles for job seekers.

Enables users to conduct deep forensic company research and generate executive dossiers covering company DNA, monetization, product sentiment, technology stack, strategy, competitive landscape, and pre-meeting intelligence.

Gives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

Checks a website's robots.txt and Cloudflare settings to identify AI crawler blocking. Also generates llms.txt content to improve visibility to AI answer engines.

Analyze and generate robots.txt files with AI crawler awareness. Fetch any site's robots.txt, detect which AI bots (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) are blocked or allowed, and generate optimized robots.txt with toggle controls for 20+ AI crawlers.

Checks a site for AI crawlers: which of 11 AI crawlers its robots.txt lets in, whether its llms.txt follows llmstxt.org, and what its home page says without scripts. Findings with evidence; no scores, no model calls, no telemetry.

Interact with WebScraping.AI API for web data extraction and scraping

Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.

Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.

Enables agents to search and read posts, images, and limited comments across Xiaohongshu, Weibo, Zhihu, and WeChat Official Accounts, with local OCR and traceable sources.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

Provides read-only MCP tools to search YouTube, retrieve video metadata, transcripts, comments, channel information, and popular videos.

Enables AI agents to fully control a terminal browser via MCP, navigating pages, filling forms, logging in, and managing cookies with deterministic numbered links and forms. Also provides an interactive human CLI.

AI text and URL summarizer that extracts key points, reduces word count, and estimates reading time, with pay-per-call via x402 micropayments.

YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.