Browser MCP Servers

Web content fetching and conversion for efficient LLM usage. Extract readable content from any URL.

The Apify MCP server gives AI agents access to 6,000+ ready-made cloud scrapers, crawlers, and automation tools on the Apify Store — no infrastructure required. Connect to Apify Actors that extract data from social media platforms (Instagram, TikTok, LinkedIn), search engines (Google, Bing), e-commerce sites (Amazon, eBay), maps (Google Maps), and virtually any website. Each Actor runs in the cloud with managed proxies, browser fingerprinting, and anti-bot bypass built in. Use the Apify MCP server to query Actors by task, stream results directly into your AI context, run custom scraping Actors from your Apify account, and chain multiple data extraction steps in a single workflow. Supports tool filtering to expose only the Actors you need, and integrates with Apify's RAG web browser Actor for retrieval-augmented generation use cases.

Automate browser interactions in the cloud (web navigation, data extraction, form filling, and more).

The Firecrawl MCP server gives your AI assistant the ability to crawl, scrape, and extract structured data from any website — turning raw HTML into clean, LLM-ready Markdown or JSON in seconds. Built by the Firecrawl team, it exposes tools for single-page scraping, deep site crawls (following internal links), and batch URL extraction, all with JavaScript rendering handled automatically so dynamic content is never missed. Developers use it to automate competitive research, build live knowledge bases, extract pricing tables, monitor documentation changes, or feed structured web data into RAG pipelines — all through natural-language prompts without writing a single scraper script. The Firecrawl MCP server handles rate limiting, retries, and proxy rotation behind the scenes. Authentication requires a Firecrawl API key (free tier available). Install with: npx firecrawl-mcp. Works with Claude Desktop, Cursor, VS Code, and any MCP-compatible client. With Firecrawl, any public webpage becomes a structured data source your AI can reason over, compare, and act on — making it the go-to MCP server for web data extraction workflows.

ExecuteAutomation's Playwright MCP Server is a community-maintained browser automation server (5,500+ GitHub stars) distinct from Microsoft's official microsoft/playwright-mcp — it leans further into test generation and visual workflows rather than pure accessibility-tree navigation. Beyond standard navigate/click/fill/screenshot tools, it can generate Playwright test code from a live browsing session, scrape full page content and structured data, execute arbitrary JavaScript in the page context, and drive API testing (GET/POST/PUT/PATCH/DELETE requests) alongside the browser tools. A standout feature is 143 real device presets for responsive testing — a single call like playwright_resize({ device: "iPhone 13" }) swaps in the correct viewport, user-agent, touch support, and device pixel ratio, and natural-language prompts like "test on iPad landscape" work directly through Claude. Install via `npm install -g @executeautomation/playwright-mcp-server`, Smithery, mcp-get, or the one-line `claude mcp add --transport stdio playwright npx @executeautomation/playwright-mcp-server` for Claude Code; VS Code one-click installers are also published. No API keys are required — it launches and drives a local Chromium/Firefox/WebKit browser directly. Choose this over Microsoft's official server when you specifically need auto-generated Playwright test scripts, JS execution, or device-emulation testing; choose Microsoft's for pure lightweight accessibility-tree page navigation.

AI-native browser automation MCP from Browserbase. Extract structured data, automate complex web interactions, and test websites with natural language instructions.

Firecrawl web scraping and crawling MCP server. Scrape any URL to clean markdown, crawl entire websites, extract structured data with LLM-powered schemas, and monitor web content changes via Firecrawl API.

Microsoft's official Playwright browser automation MCP server with 33K+ GitHub stars. Uses Playwright's accessibility tree rather than screenshots — fast, lightweight, and LLM-friendly. Enables Claude to navigate web pages, fill forms, click elements, extract structured data, and automate browser workflows without vision models.

Browser automation and web scraping with Puppeteer.

Discover, extract, and interact with the web - one interface powering automated access across the public internet.

The Browserless MCP Server is Browserless.io's official Model Context Protocol integration, exposing Browserless's smart-scraper and browser-automation API as tools any MCP-compatible AI assistant can call — Claude Desktop, Cursor, VS Code, and Windsurf among them. The fastest path is the hosted remote server at `https://mcp.browserless.io/mcp`, authenticated with a Browserless API token (a free tier is available), so most users never run anything locally. Core capabilities: a scraping tool that cascades through strategies (plain HTTP fetch, proxy, full headless-browser render, and CAPTCHA solving as needed) and returns content as markdown, HTML, screenshot, PDF, or extracted links; a web-search tool covering web/news/image search with geo-targeting and time-range filters, with optional per-result scraping; a raw Puppeteer-execution tool that runs custom JavaScript against a live page object on Browserless's cloud browsers for cases the built-in tools don't cover; and a stateful agent-loop mode that keeps a persistent browser session alive across multiple tool calls with snapshot/observe/act primitives, instead of forcing one-shot page loads for every step. This makes it a fit for AI research agents that need to click through paginated results, fill and submit forms, or verify a scrape against a live rendered page rather than a static fetch. The github.com/browserless/mcp-server URL sometimes cited for this project does not exist — the real official repo lives at browserless/browserless-mcp; a separate community implementation, Lizzard-Solutions/browserless-mcp, offers a comparable self-hosted alternative for teams that want to run the bridge themselves instead of the hosted endpoint.

The official ScrapingBee MCP Server turns ScrapingBee's managed web-scraping infrastructure into an AI-native data layer, so AI agents register scraping as a formally callable MCP tool instead of guessing at fetch/parse logic inside a prompt. The architecture is a clean pipeline: AI agent → MCP client → ScrapingBee MCP server → ScrapingBee API → target website → structured JSON response injected back into the agent's context. ScrapingBee handles the parts language models cannot reliably do themselves — bypassing anti-bot protection, rotating proxies, rendering JavaScript-heavy pages, and solving CAPTCHA challenges — which makes this a good fit for AI research agents, ecommerce intelligence bots, and market-monitoring pipelines that need live web data rather than stale training data. The fastest path is the hosted remote MCP endpoint: add it to claude_desktop_config.json via `npx mcp-remote https://mcp.scrapingbee.com/mcp?api_key=YOUR_API_KEY` and restart Claude Desktop to get the tools automatically, no local server process required. For self-hosting or custom integrations, clone the repo, run `npm install`, set a SCRAPINGBEE_API_KEY environment variable, and start the server with `npm start`; the repo also documents a custom async Python MCP client for advanced agentic workflows. Requires a ScrapingBee API key (paid service, free trial available).

Web scraping and browser automation library.

Official Oxylabs MCP server that bridges AI models to the open web at scale — letting agents scrape any URL, render JavaScript-heavy pages, bypass CAPTCHAs and anti-bot systems, and reach geo-restricted content across 195+ countries through Oxylabs' proxy and Web Scraper API infrastructure. Exposes two tool sets. The Web Scraper API tools cover `universal_scraper` (general website scraping with automatic content formatting for LLM consumption), `google_search_scraper` (structured Google SERP extraction), `amazon_search_scraper` (Amazon result pages), and `amazon_product_scraper` (individual product detail pages). The Oxylabs AI Studio tools add `ai_scraper` for AI-powered extraction that returns clean JSON or Markdown from any URL without writing selectors. Distributed as the PyPI package `oxylabs-mcp` (installable via uvx) and on Smithery for one-command setup. Authentication uses `OXYLABS_USERNAME`/`OXYLABS_PASSWORD` for the Web Scraper API (1-week free trial) plus an optional `OXYLABS_AI_STUDIO_API_KEY` (1,000 free credits) for the AI extraction tools. Built for agents doing large-scale market research, price monitoring, lead generation, SEO/SERP tracking, and competitive intelligence where residential/datacenter proxies and reliable rendering matter more than a single-page fetch.

Enable AI agents to get structured data from unstructured web.

Next-generation platform empowering AI agents with scalable browser automation.

MCP server for Mobile Development and Automation - iOS, Android, Simulator, Emulator.

BrowserStack's official MCP server connects Claude, Cursor, VS Code, and other MCP clients to the BrowserStack Test Platform so agents can manage, run, debug, and even fix tests using plain-English prompts. It surfaces BrowserStack's real-device and browser cloud directly inside your IDE or LLM: launch manual app and web test sessions on thousands of real iOS/Android devices and desktop browser/OS combinations, reproduce and debug crashes without local device setup, run and triage automated test suites, and perform accessibility testing against WCAG guidelines. Because context stays in one place, agents can read failing-test output, propose a code fix, and re-run the test in the same conversation — cutting the context-switching between IDE, dashboard, and device lab. Distributed as the official npm package `@browserstack/mcp-server` (Node.js >= 18 required) with one-click setup buttons for VS Code and Cursor via mcp.browserstack.com, plus a hosted remote option. Authentication uses your BrowserStack username and access key from the account settings. Ideal for QA and dev teams that want an AI assistant to drive cross-browser/real-device testing, debug flaky automation, and validate accessibility without leaving their editor or writing boilerplate BrowserStack API calls.

Connect AI assistants with your testing workflow for accessibility, SmartUI, automation.

Enable AI coding assistants to debug web pages directly in Chrome.

End-to-end testing MCP for Cypress. Run test suites, inspect test results, generate test code, and debug failing tests with AI-powered analysis.

Integrate with Burp Suite Professional for web application security testing. Scan web apps, intercept requests, run active/passive scans, and access vulnerability findings via the Burp REST API.

Official Wix MCP Server for building web apps and business solutions on Wix's platform. Search Wix documentation, write and run Velo code, manage site content and collections, interact with Wix Headless APIs, configure business apps, and automate Wix Studio workflows from your AI client.

Generate and deploy full-stack web apps via Bolt.new — StackBlitz's AI-powered WebContainer dev environment for instant in-browser project creation.

Access LogRocket session replay and product analytics — query user sessions with network and console logs, identify rage-click and dead-click events, correlate errors with specific user journeys, and track feature adoption funnels.

Query Mouseflow session recordings and heatmaps — retrieve click, scroll, and form analytics, filter sessions by user attributes or friction events, access funnel conversion data, and export aggregated behavior reports.

Integrate with Lucky Orange conversion analytics — access heatmaps, recordings, and form analytics, query visitor segments, trigger live chat and survey interactions, and retrieve funnel drop-off data for CRO workflows.

Retrieve Crazy Egg heatmap and A/B test data — access snapshot reports, click and scroll maps, confetti views, and recording lists, query A/B test variant performance, and compare conversion rates across page variants.