"stack and dns mcp" matching MCP servers:

Enables LLM agents to retrieve live, accurately labeled data from DNS (dns-shop.ru) — city-specific pricing, product search with filters, ratings, reviews, store stock, and price history — while avoiding common data misinterpretations.

Detects a company's technology stack from its public web presence. Returns structured tech signals for sales targeting and competitive analysis.

Enables querying DNS Shop product data via MCP: search, product details, reviews, specifications, variants, categories, brand catalogs, availability by city, and store listings.

Detects the technology stack behind any website, including frameworks, CMS, analytics, and more, via a single POST request.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Investigate any website's technology stack: CMS, eCommerce, frameworks, analytics, CRM, payments, and hosting behind any URL.

Enables users to search Reddit by keyword or subreddit, read thread URLs with comments, filter and sort results, and receive flat post and comment rows without needing a Reddit login or API key.

Enables querying Shopify App Store apps and Chrome Web Store extensions by category, keyword, or listing URL, returning ratings, reviews, pricing or user counts, and developer website, domain, address, and email. Filters by minimum rating or reviews and produces one row per listing ready for outreach or enrichment.

Enables users to convert a vendor partner directory (such as PartnerPage or the Shopify Partner Directory) or a trade body member list into one company row per listing, each carrying website, domain, tier, tags, and location for Clay-ready output. It runs the extraction on Apify, returning dataset rows for up to 20 directory URLs with optional deduping, detail enrichment, and a cost cap.

Enables users to check Google organic, map pack, and local finder positions for keywords across specified locations, returning per keyword/location rows with ratings, competitors, and rank changes. It runs searches from each location via Apify and can track history with a state key.

Enables discovery of a company's public feature board (Canny, Featurebase, Frill, UserVoice, Productboard) from its domain and retrieval of its most-voted requests with votes, status, comments, and the integrations customers ask for. Supports monitoring runs that surface only new requests, status changes, and vote jumps since a prior run using a saved state key.

Enables users to turn beats or topics into a ready media list by finding recent news articles, reading their bylines, and returning one row per journalist with name, outlet, author page, article count, latest article, and proof links. Runs the work on Apify and supports filters for date range, country, language, outlet domains, and minimum article counts.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Enables AI assistants to run pay-per-result web data and media tools such as website tech stack detection, document-to-Markdown conversion, SEO audits, OCR, and domain lookups via Apify.

Give it a product and a country and it searches Google for manufacturers, wholesalers, and distributors, reads each candidate company's own website, and returns only the ones whose pages back up the claim, with quoted evidence, the domain, and a confidence score. Directories, marketplaces, and social networks are filtered out, and a free summary row reports how many sites were found and checked when nothing qualifies.

Enables monitoring Google News for companies, brands, people, or topics, returning one row per article with headline, outlet, date, publisher URL, and a headline sentiment label. Supports watch-list state keys so repeat calls surface only articles that haven't been returned before, with a free summary row explaining empty runs.

Give AI agents cryptographically signed proof of web observations: Ed25519-signed proof packets (HTTP status, page title, body SHA-256, DNS, TLS) for any public URL.

Finds and verifies business email addresses using DNS/SMTP verification and web scraping, with no external API costs.

Complete Vinted MCP and CLI Server

Enables exporting public GitHub followers and following lists as flat rows with profile details and completeness reports via an Apify actor. It accepts usernames or profile URLs and supports follower, following, or both lists with configurable result limits.

Enables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.

Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting

Enables users to retrieve flat rows for public YouTube videos and channels from channel, playlist, and search sources, including titles, views, dates, lengths, subscriber counts, links, and source-read reports via Apify.

Enables keyword or post-address collection of public posts and their comments from Bluesky, Hacker News, Mastodon, Lemmy, Reddit, and YouTube, returning unified rows in a single layout. Runs the Apify actor, waits for completion, and hands back the dataset rows along with per-query platform status.

Enables crawling sites from start URLs and retrieving internal and external links, file download links, HTML tables as rows, and lists, with controls for crawl depth, page limits, sitemaps, robots.txt, and proxy mode.

Provides AI access to Korea's land use planning, urban regulations, and permit information through natural language queries. It integrates tools for land analysis, regulation verification, and public notice scraping to prevent hallucinations in property-related AI applications.

Performs comprehensive website health audits including SSL, DNS, email authentication, performance, uptime, and broken link checks, all without requiring API keys. Returns a scored report with weighted metrics and actionable recommendations.

Enables watching competitor Shopify, WooCommerce, and SaaS pricing and changelog pages, returning only what changed since the last run as price, stock, product, plan, and changelog diffs. Runs on Apify with per-event pricing and saved state keys for separate baselines.

GTM signal intelligence suite for AI agents. Six tools: hiring signals, tech stack detection, company-to-LinkedIn resolution, ICP scoring, job board scanning, and a combined signals aggregator. Built for outbound sales workflows.

A comprehensive MCP server providing 15 web tools including search, scraping, screenshots, SEO audits, and DNS/SSL checks through a single installation. It delivers clean, LLM-optimized outputs so AI agents can focus on reasoning rather than parsing raw HTML.

MCP server with seven website-audit tools (incl. pay-transparency posting monitor) for AI agents: schema/AI-readiness, WCAG accessibility, tech stack, PageSpeed, AI-crawler access, page-change monitoring. Runs public Apify Actors on the user's own Apify account; MIT licensed.

Turns any company domain into a live, normalized enrichment record covering firmographics, MX-graded business contacts, a tech-stack fingerprint, social links, and a hiring signal derived from eight applicant-tracking platforms. All data is read from public keyless sources at call time, so agents can screen prospects and compare hiring intensity without paid databases or API accounts.

Enables AI agents to run domain and website intelligence checks, including WHOIS/RDAP, DNS and email security, TLS headers, subdomains, tech stack, contacts, SEO, Core Web Vitals, sitemaps, and Wayback page diffs, using the caller's own Apify token.

Enables users to look up Amazon buy box and list prices, stock, seller, and rating by ASIN or product URL across nine marketplaces, and to surface price or stock changes between runs.

Enables AI agents to research companies and find contacts with structured data from multiple free sources, including company info, tech stack, and email addresses.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Enables agentic AI clients to run passive OSINT and threat-intelligence searches across Tor hidden services, returning structured JSON results with reliability heuristics, mirror-cluster detection, and a local SQLite fallback index. Also supports sanitized, read-only fetching of .onion pages through a strictly isolated Tor SOCKS5h proxy with DNS-leak protection, stripping scripts and forms before content reaches the model.

Enables AI agents and automation pipelines to enrich company domains, audit AI-search readiness, convert web pages to clean Markdown, inspect DNS/DMARC security, and batch-process up to 25 domains per request.

Enables AI assistants to perform domain reconnaissance using theHarvester OSINT tool, including email harvesting, subdomain discovery, DNS brute force, and Shodan integration, via SSH on a Kali Linux host.

Stealth browser automation over raw CDP, driving a real unmodified Chrome with no Playwright or Puppeteer in the stack. Returns numbered element refs from the accessibility tree so a model clicks ref 3 instead of guessing a CSS selector, and can attach to an already-running Chrome to reuse logged-in sessions.