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

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

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.

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

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.

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.

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

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 LLM agents to analyze Telegram channels for ad purchasing, providing insights like reach, CPM, and verdicts via MCP tools.

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.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

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 interact with VnExpress news content through RSS feeds, advanced search with filters, and clean article text extraction for Vietnamese news consumption.

Enhances Claude's capabilities by providing access to website analytics data from Umami, enabling analysis of user behavior, website performance tracking, and data-driven insights generation.

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.