"AWS MCP server for cloud infrastructure operations and deployments" matching MCP servers:

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

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

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

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

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

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.

Enables a single user to let ChatGPT read and control a dedicated Chromium browser running on their own server, with tab, navigation, and browser-action tools plus manual approval safeguards.

Hosted remote MCP for AI agent browser approval. Provides structured tools for page approval workflows, session management, and audit receipts.

Paid remote MCP for browser session management, enabling AI agents to open sessions, run stateful snippets, read page state, and export session logs.

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.

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

Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.

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)

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

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

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.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.