Browser AI Agent Skills

operative.sh's MCP Server launches a browser-use powered agent to autonomously execute and debug web apps directly in your code editor. - 🌐 Navigate your webapp using BrowserUse (2x faster with operative backend) - 📊 Capture network traffic - requests are intelligently filtered and returned into the context window - 🚨 Collect console errors - captures logs & errors - 🤖 Autonomous debugging - t

An MCP server paired with a Firefox browser extension that provides AI assistants with access to tab management, browsing history, and webpage text content. The MCP server supports the following tools: - Open or close tabs - Get the list of opened tabs - Create tab groups with name and color - Reorder opened tabs - Read and search the browser's history - Read a webpage's text content and links (re

Português | MCP server for fetch web page content using Playwright headless browser. - JavaScript Support: Unlike traditional web scrapers, Fetcher MCP uses Playwright to execute JavaScript, making it capable of handling dynamic web content and modern web applications. - Intelligent Content Extraction: Built-in Readability algorithm automatically extracts the main content from web pages, removing

A powerful Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities. - Advanced Browser Automation - Navigate to any URL with customizable load strategies - Capture full-page or element-specific screenshots - Perform precise DOM interactions (click, fill, select, hover) - Execute arbitrary JavaScript in browser context with console logs

Create a new App Store Connect app record via browser automation. Use when there is no public API for app creation and you need an agent to drive the New App form.

BrowserAct Skills Browser automation CLI built for AI agents. Get past anti-bot walls, hand off to humans across platforms when stuck, run parallel tasks without cross-contamination, and isolate multiple accounts in independent browsers. The browser an AI agent needs has to reach places standard tools can't, let a human seamlessly take over when the agent is stuck, keep parallel tasks from cross-c

VR/AR development principles. Comfort, interaction, performance requirements.

Give Claude Code a browser that thinks. An MCP server that connects Claude Code to Perplexity Comet - enabling agentic web browsing, deep research, and real-time task monitoring. Existing web tools for Claude Code fall into two categories, both with limitations: Return static text. No interaction, no login, no dynamic content. Great for quick lookups, but can't navigate complex sites or fill forms

An MCP server that enables AI agents to control web browsers using browser-use. - uv - Fast Python package manager - Playwright - Browser automation - mcp-proxy - Required for stdio mode Create a .env file: - [x] Browser Automation: Control browsers through AI agents - [x] Dual Transport: Support for both SSE and stdio protocols - [x] VNC Streaming: Watch browser automation in real-time - [x] Asyn

Comprehensive guide for browser automation and web scraping with go-rod (Chrome DevTools Protocol) including stealth anti-bot-detection patterns.

MCP Server Playwright A Model Context Protocol server that provides browser automation capabilities using Playwright Enable LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment - Installation - Configuration - Components - Resources - 🌐 Full browser automation capabilities - 📸 Screenshot capture of entire pages or specific elements - 🖱️ Compreh

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

An MCP Server that enables AI assistants to interact with your local browsers. 1. Add MCP Browser Kit to your MCP Client: 2. Choose the right extension build for your browser: - Check the Compatibility table below to see which build (M2 or M3) is compatible with your browser - Note that M2 builds offer more functionality than M3 builds, so prefer M2 if your browser supports both 3. Download the la

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

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

Scrape, crawl, search, and extract web data. Converts any website to LLM-ready markdown. Local-first with smart escalation (HTTP → browser → stealth). No API key needed.

Client-side knowledge graph creator for codebases with a built-in Graph RAG agent. Runs entirely in the browser — no server. Point it at a repo and get an interactive graph plus a chat agent that answers with graph-aware context.

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,

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 Model Context Protocol (MCP) server that provides comprehensive access to the UCSC Genome Browser API. This server enables LLM applications to query genomic data, sequences, tracks, and metadata from the UCSC Genome Browser. This MCP server exposes 12 tools that cover all major UCSC Genome Browser API endpoints: - findgenome - Search for genomes using keywords, accession IDs, or organism names -

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details. This MCP server is free and open source, supported by Unipile. It runs locally with your own browser session. Unipile is the fully managed cloud alternative: a hosted LinkedIn API for Classic, Sales Navigator, and Recru

Authenticate to Azure services using Azure Identity SDK for JavaScript (@azure/identity). Use when configuring authentication with DefaultAzureCredential, managed identity, service principals, or interactive browser login.

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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