"Information about Microsoft Azure cloud platform" 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.

A native TypeScript/Node.js MCP server providing low-level, high-performance control over Microsoft Edge via raw CDP WebSockets, bypassing heavy automation layers like Playwright or Puppeteer.

MCP server for the Mamba Labs Ecommerce Platform Profiler actor on Apify. Detect the ecommerce platform, payment providers and catalogue size behind a storefront.

MCP server for the Spider web crawling and scraping API, enabling AI agents to crawl, scrape, search, and extract web data.

Enables MCP clients to search the web and fetch individual pages through two stdio tools, returning ranked results or extracted page content, titles and outbound links. It wraps a hosted, API-key-authenticated service (or a local daemon) with zero runtime dependencies.

A cloud MCP server providing Tavily-powered tools for web search, extraction, crawling, mapping, and research, with multi-key load balancing, real-time quota tracking, and a web admin panel.

Self-hosted MCP toolkit providing web search, Wikipedia, and arXiv access without mandatory API keys, delivered as a Docker Compose bundle.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Enables AI assistants to scrape, crawl, search, and extract data from websites via the Spider Cloud API, with anti-bot bypass and JavaScript rendering.

Search API for AI, SEO & automation. Browser-rendered Google, Bing, Yandex, Baidu, DuckDuckGo and Ecosia results with URL extraction (+image search and engine metadata tools)

A remote MCP server providing web scraping and URL analysis tools (fetch webpage, extract links, check URL status, analyze text) with static bearer-token authentication and optional OAuth support.

Enables LLMs to extract content from websites using automated static and dynamic scraping engines with built-in anti-bot protections. It provides tools for web data retrieval and stores results in MongoDB with support for JSON and CSV exports.

Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.

Enables AI agents to crawl, scrape, search, and automate browsers with anti-bot bypass, providing fast web access via 22 tools.

A production-ready Model Context Protocol (MCP) server that integrates with the Firecrawl API to give AI assistants the power to scrape, crawl, and search the web.

Multi-session browser MCP server that gives AI agents up to 15 fully-isolated browsers running in parallel. 36 tools including navigation, extraction, network intercept, stealth, and self-improvement. Each session has its own cookies, storage, and fingerprint so agents never collide.

Enables an LLM to control a hosted headless Chromium browser over HTTP, navigating pages, clicking, typing, and reading structured accessibility snapshots so any MCP client can perform browser automation without local installation.

MCP server that gives AI agents web capabilities such as rendering pages, extracting content, resolving links, and inspecting domains, with per-call USDC payments via x402.

Enables structured content extraction and JavaScript rendering from URLs via the AceDataCloud WebExtrator platform.