"Information about web browsers" matching MCP servers:

This MCP server enables free web search and page content extraction using real browsers, with support for multiple search engines and stealth browser backends. It provides tools for searching, fetching pages, and setting up the Camoufox stealth browser.

An advanced web browsing server enabling headless browser interactions via a secure API, providing features like navigation, content extraction, element interaction, and screenshot capture.

Enables web browsing capabilities using BeautifulSoup4

Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.

Enables AI agents to perform query-driven web searches and fetch page content via Bing and DuckDuckGo engines, with automatic fallback and no API keys needed.

Enables AI agents to automate web browsers using local Ollama models via the Model Context Protocol, supporting tasks like web search, data extraction, and e-commerce analysis through natural language commands.

Enables web search via DuckDuckGo and web content fetching through the Model Context Protocol, allowing AI assistants to search and retrieve web page content.

A browser automation MCP server providing 30 tools for navigation, interaction, page information, state checks, tab management, and more, enabling natural language control of browsers via MCP-compatible clients.

Enables comprehensive browser automation and control through Playwright, including launching browsers, managing tabs, web navigation, element interaction, and screenshot capture. Supports detecting and controlling external browsers with remote debugging capabilities.

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.

A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.

Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.

Provides web access tools (fetch, search, sitemap crawl) through String AI's API, automatically handling anti-bot bypass, CAPTCHA, and JavaScript rendering.

A web-fetch MCP server for LLM agents that fetches pages with an escalation ladder through different engines, raising FetchBlocked instead of returning blocked content.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

An open-source MCP server providing AI agents with neural web search via Exa and tiered web fetch (Exa, local browser, Firecrawl) as a drop-in replacement for built-in web tools, preserving provenance and guarding against SSRF.

MCP server for SrezAI providing web search, page reading, screenshots, and schema-based extraction as native agent tools.

Enables AI agents to run RU-first web searches through the Yandex index and extract web pages into clean reader-mode Markdown, bypassing anti-bot blocks.