1446 Model Context Protocol servers — searchable, rated, ready to install.
57 tools for AI-powered iOS Simulator automation — tap, swipe, type, screenshots, and more.
Control a real iPhone through macOS iPhone Mirroring: screenshot, tap, swipe, type.
Reddit browser for AI assistants. Browse without API keys; add credentials for search and analysis.
Headless browser primitives for AI agents when sites need real JS rendering.
14 web scrapers as MCP tools: Reddit, Amazon, Google Maps, Yelp, YouTube, Indeed & more.
Drive your real, logged-in Chrome from any AI agent - 40 tools. Needs our Chrome extension too.
Web scraping for AI agents. Converts URLs to clean, LLM-ready Markdown with anti-bot bypass.
MCP server for browser use access
MCP server for Fetch Pet insurance claims management using Playwright automation.
Web search, URL discovery, scraping & extraction with agent-browser and search providers
Development workflow server for CrossPad — build, test, run, screenshot, and navigate code
Enable your AI agents to scrape and parse web content dynamically, including geo-restricted sites
Search 400k+ SaaS and software companies by category, technology, country, pricing, and more.
Screenshot capture with PII masking and cross-platform support for AI agents
Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.
AI-powered web scraping and data extraction capabilities through ScrapeGraph API
Enables natural language schema queries — explore tables, keys, procedures, and get SQL help fast
Stealthy, LLM-drivable browser engine — a Python library + 85-tool MCP server on stealth Chromium.
让 AI 与 Chrome 浏览器实时交互：获取历史请求、控制台日志、RUM/埋点事件，并动态设置 Mock 数据。
Approval receipts for AI browser purchases.
Hosted Chromium in mainland China: scripted actions, URL screenshots, print-to-PDF.
Automated web QA via Chrome DevTools MCP — a11y, security, visual, env diff, CI; Aegis redaction.
Web access for AI agents — search/scrape/extract/crawl via the auxiliar.ai gateway.
Zero-dependency browser video editor AI agents drive via a JSON timeline over MCP; ffmpeg export.
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