"Frontend development utilities for LLM webpage visualization" matching MCP servers:

Enables AI assistants to control your webpage via MCP, allowing navigation, screenshots, clicks, content reading, and more through a Chrome extension.

A zero-config MCP server that lets AI agents fetch, read, and search live web pages without API keys or databases, using in-process BM25 retrieval.

Enables frontend navigation and browser automation through a deterministic MCP server, integrating Browser Use and optional code graph hints for coding agents.

A Model Context Protocol server that extracts webpage creation, modification, and publication timestamps from various sources including HTML meta tags, HTTP headers, and structured data.

Enables local MCP clients to discover and call 35 paid utility APIs for HTML extraction, JSON validation, agent configuration checks, and product data, with free tool discovery and prepaid per-call pricing.

Captures screenshots of web pages using Puppeteer, allowing AI agents to visually verify web applications and see their progress when generating web apps.

Stateless URL, DNS, x402, JWT, encoding, and parsing tools for AI agents.

Provides comprehensive code analysis (quality, complexity, linting, dependencies, security) and web scraping capabilities (static/dynamic content, API discovery) for development workflows.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Exposes tools for performing web searches via DuckDuckGo and fetching webpage content as simplified Markdown using crawl4ai. It enables language models to search the internet or specific websites and retrieve cleaned page text for analysis.

Enables querying and retrieving webpage content from websites by parsing sitemap.xml files and fetching HTML content from specified URLs. Includes rate limiting protection and supports listing all available pages from a sitemap.

Enables querying and retrieving webpage content from websites by parsing sitemap.xml files and fetching HTML content from specified URLs. Includes built-in rate limiting for responsible web scraping.

Enables querying and retrieving webpage content from websites by parsing sitemap.xml files and fetching HTML content. Includes rate limiting protection and supports listing available pages and accessing raw sitemap data.

Enables querying and retrieving webpage content from websites by parsing sitemap.xml files and fetching HTML content from specified URLs. Includes built-in rate limiting and supports listing available pages and accessing raw sitemap data.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.