Web Scraping & Data Collection Servidores MCP

Crawl4AI

Wraps the Crawl4AI library with a Model Context Protocol (MCP) server, providing crawling functionality via Python functions.

PhoneLCDParts

Scrapes product information from phonelcdparts.com for AI-driven applications.

Fetch Weather

Provides current city weather data through a minimalist Model Context Protocol (MCP) server, serving as an example for LLM-tool communication.

LLMReady

Converts websites and documents into LLM-ready Markdown for consumption by large language models.

Web URL Reader

Fetches web URLs via `curl -sL` after prepending a configurable server-side prefix, enabling AI applications to route requests through proxies or custom gateways.

Bing Flights

Scrapes flight information from Bing Flights using Playwright and serves it via a Model Context Protocol (MCP) server.

ArXiv LaTeX

Processes arXiv LaTeX sources to enable precise interpretation of mathematical expressions by Large Language Models.

Naver Search

Integrates Naver Search capabilities including shopping, cafe posts, news, and blogs into AI assistants like Claude and Cursor.

Web Search

Integrates powerful web search functionalities using the Brave Search API, optimized for Model Context Protocol (MCP) applications.

Bowman Prospects

Classifies Bowman Prospects Baseball cards to assess their current and future market value using image recognition, player statistics, and pricing data.

SearchAPI

Connects AI assistants to SearchAPI for real-time data access.

Wildberries

Retrieves and analyzes Wildberries product reviews for seamless integration with Large Language Models.