Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.
An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.
Exposes Perplexity AI's search capabilities to Claude, enabling real-time web search and information retrieval within the assistant. The project is currently in active development with plans to support Perplexity Spaces and multi-source data synthesis.
An MCP server that uses Playwright to scrape Israeli weather forecasts from weather2day.co.il by automating a real browser, enabling an LLM to answer questions about current conditions and hourly forecasts for Israeli cities.
Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.
Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.
Audits images on any public web page to detect oversized images, compare natural vs rendered dimensions, and provide format breakdown, helping AI agents check image performance during development.
Provides 30 MCP tools for browser extension development, including scaffolding, running, debugging, inspecting, and publishing cross-browser extensions. It enables AI agents to interact with live browsers for debugging and development.
Enables evidence-grounded web design analysis by searching GDWEB references and generating isolated, per-reference DESIGN_INDEX specification documents for LLM-driven frontend development.
Provides web search capabilities across multiple engines and webpage content fetching to simplified Markdown. It enables AI assistants to access real-time internet information and extract text from specific URLs.
MCP server that fetches web pages and uses local Qwen models to answer questions about their content, with site-scoped search and map-reduce chunking for long pages.
A privacy-friendly MCP server that enables web searches and URL content extraction using DuckDuckGo, allowing AI assistants to access real-time web information without API keys.
Enables AI assistants to perform real-time web searches, company research, content crawling, LinkedIn searches, and deep research using the Exa AI Search API. Provides comprehensive web information retrieval capabilities in a safe and controlled manner.
DevEyes is a Model Context Protocol (MCP) server that captures screenshots from your local development environment and automatically optimizes them for LLM consumption.
Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages using tools like page fetching, link extraction, site crawling, and more.