"A server for finding information about text analytics" matching MCP servers:

Enables extracting visible text and links from webpages for content analysis.

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 fetching visible text content and extracting all links from web pages through URL requests. Designed specifically for LM Studio integration to provide web scraping capabilities.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

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

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Extracts clean, structured Markdown text from web pages using WebforAI, making web content easily accessible for AI model consumption through the Model Context Protocol.

Enables AI models to fetch text content from URLs, extract links from web pages, and search the web using Brave Search with automatic content retrieval from top results. Provides comprehensive web scraping and search capabilities with robust error handling.

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

Controls a real Chrome browser to navigate web pages and extract text content with flexible options including CSS selectors, multiple text extraction types, and intelligent waiting mechanisms for dynamic content.

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

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

An MCP server that extracts clean, structured Markdown content from web page URLs using the WebforAI library. It simplifies feeding web content into AI models by removing HTML noise and intelligently processing tables and links.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

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.

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.

Enables AI assistants to search for vehicles, manage reservations, and access Enterprise Plus loyalty account information through headless browser automation on enterprise.com. It supports the complete car rental workflow including vehicle searching, booking, modifications, and points balance checks.

Enables AI agents to manage RSS feeds and articles, safely extract full article text, and fetch YouTube transcripts through a token-optimized MCP interface.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

MCP server for Scrapiq, providing a tool to extract clean content from URLs. It returns title, content, links, and metadata in text, markdown, or JSON formats.