"Browser Automation" matching MCP servers:

Web data for AI agents: scrape, crawl, search, deep research, site monitoring, browser automation

Enables stealth web browsing and search with Cloudflare Turnstile bypass, dynamic residential proxy rotation, and token-optimized markdown extraction.

Enables inspection and control of Arc Browser spaces and tabs on macOS, including reading sidebar/history data and performing actions like focusing spaces, creating and closing tabs.

Enables Claude to search jobs, manage proposals, messages, and contracts on Upwork via browser automation.

MCP server that lets AI assistants browse the web through your real Chrome with your cookies, sessions, and fingerprint, avoiding bot detection and CAPTCHAs. Enables web browsing, content extraction, and multi-step workflows via persistent tabs.

This MCP server provides tools for interacting with Cloudflare Browser Rendering, allowing you to fetch and process web content for use as context in LLMs directly from Cline or Claude Desktop.

touch-browser is an evidence-grounded MCP server for public docs and research web workflows. It helps AI agents search and open web pages, extract page-local evidence with citations and confidence bands, classify browsing risk, and synthesize multi-page sessions into citation-ready reports.

Enables structured access to YouTube via Piped, offering search, video metadata, and browser-ready playback URLs without an official API key or browser automation.

A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.

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.

Turn your Chrome browser into an AI-powered automation tool, enabling browser control, content analysis, and semantic search via Model Context Protocol.

A Model Control Protocol server that enables AI agents to perform web browsing tasks through a standardized interface using the browser-use library.

A browser automation MCP server that enables web page interaction, content extraction, and academic search via Selenium and FastMCP.

Token-efficient browser automation MCP server using Playwright, with getOutline and searchSnapshot to save ~95% tokens compared to full snapshots.

Enables autonomous research by integrating multiple free sources including web search, Wikipedia, arXiv, and Crossref, with no API keys required.

A Playwright-based browser automation tool for AI agents, enabling web search, navigation, scraping, and page interaction through the Model Context Protocol.

Enables searching and fetching HiringCafe job listings through MCP, using public HTML pages without authentication or browser automation.

An MCP server that allows users to interact with their browser through natural language commands, enabling actions like getting page content as markdown, modifying page styles, and searching browser history.

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.