"Resources for Creating Websites" matching MCP servers:

Structured web context infrastructure for AI agents. Extract reliable schema-guided JSON from websites using Claude-powered parsing, Browserless fallback rendering, and MCP-native workflows.

Analyzes and extracts design tokens, assets, and layout from live websites to enable AI clients to faithfully replicate them, with tools for screenshotting, component inspection, and pixel-diff verification.

Enables AI agents to scrape Google Maps business leads, including contact details, emails, websites, and social profiles, and export them as CSV or XLSX.

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.

Enables AI assistants to scrape pages, batch-process URLs, and crawl entire websites with AI-powered extraction.

Enables AI agents to scrape, crawl, and map websites into LLM-ready markdown via the Metalift API

An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.

An APAC-native web scraping API for AI agents that provides tools for scraping, crawling, searching, and extracting structured data from websites, directly usable from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Use 3,000+ pre-built cloud tools from Apify, known as Actors, to extract data from websites, e-commerce, social media, search engines, maps, and more

Enables AI assistants to crawl websites, export crawl data, and manage crawl storage using Screaming Frog SEO Spider through the MCP protocol.

Enables AI agents to access authenticated websites by reusing your existing browser profile and cookies, so you never share passwords and sessions persist between runs.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

Enables SEO auditing and site analysis by crawling websites, identifying issues, and generating reports like sitemaps and markdown exports.

Enables agents to sign into websites through a real browser without exposing passwords, keeping cookies in a local Chrome profile and providing tools for browsing and managing authenticated sessions.

Enables discovery of 1990s-early 2000s Japanese personal websites from web archives by replaying old discovery routes like directories and web rings, with tools for fetching archived pages and extracting links.

MCP server for browser automation with anti-detection. Scout pages, find elements, interact with websites, and monitor network traffic from any AI client that supports the Model Context Protocol.

Enables an LLM to retrieve live weather forecasts for Israeli cities by using Playwright to drive a real browser and scrape data from weather websites without a traditional API.

WCC is an MCP server that compiles websites into typed capabilities for agents. It enables low-risk search, filter, and navigation actions with verified execution and reduced token usage on repeated tasks.

MCP server for agent-readiness auditing of websites, providing tools to audit URLs, bulk audit up to 50 URLs, compare multiple URLs, and fetch a leaderboard of top agent-ready sites.

Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.