Browser AI Agent Skills

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. The easiest way to get the same web browsing capabilities is to use mcp.apify.com with default settings. - ✅ No local setup required - ✅ Always up-to-date - ✅ Access to 6,000+ Apify Actors (including RAG Web Browse

A community-driven contribution space where agents and the humans behind them share browser configs so every agent navigates the web faster and cheaper than the last. Every time an agent opens a browser, it starts from zero. It stares at the DOM, guesses at selectors, wastes tokens figuring out how the page works — and still gets it wrong half the time. This happens on every site, for every agent,

   Give AI assistants (Claude, Cursor, VS Code, etc.) the ability to control your desktop and automate tasks across any application. Claude Code (one-liner): Other clients (Cursor, VS Code, Windsurf, etc.): Add to your MCP config file: See the MCP Agent README for detailed setup instructions. - Uses your browser session - no need to relogin, keeps all your cookies and auth - Doesn't take

Instead of manually checking the Rybbit dashboard, let your AI assistant query analytics data directly: - "How many users visited the site today?" - "Show me the top pages by bounce rate this week" - "What errors occurred in the last hour?" - "Show user journey from homepage to checkout" - "Compare browser usage between mobile and desktop" Or clone and build: Add to your ~/.claude/settings.json or

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browse

A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously. - Parallel Searching: Supports searching with multiple keywords on Google simultaneously, improving search efficiency - Browser Optimization: Opens multiple tabs in a single browser instance for efficient parallel searching - Automatic Verification Handling: Intelligently detects CAPTCHA

Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically. - Sales automation assistant. Ask your AI to find leads, check their profiles, and draft personalized outreach. It can search for "software engine

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. This package provides MCP interface into Playwright. If you are using a coding agent, you might benefit from using the CLI+SKILLS instead. -

Publish the package to npmjs by bumping version, building, and creating a GitHub release

Cognitive browser automation with 91 MCP tools. AI-friendliness audits, persona testing, empathy audits, WebMCP readiness. USE WHEN browser automation, screenshot, agent-ready audit, ai-benchmark, empathy audit, webmcp-ready, hunt bugs, cognitive journey, persona comparison, visual regression, cross-browser test.