web scraping & data collection를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2655개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables real-time web search, intelligent data extraction, structured website mapping, and systematic web crawling through Tavily's suite of tools, supporting both SSE and STDIO transport protocols.
Integrates simple search and web crawling functionalities accessible via an MCP Server.
Provides AI assistants native understanding and utilization of Mesh Design System components and design tokens.
Provides web search capabilities within an MCP server by integrating with the Tavily API.
Provides programmatic access to Valentin Gonzalez Loureiro's curriculum vitae data through a Model Context Protocol server.
Provides comprehensive Google search functionality through a plugin-based architecture, leveraging external APIs like Serper and SerpApi.
Integrates with RateMyProfessors.com to fetch professor ratings, reviews, and comments via an MCP client.
Automates the collection of daily KPI reports from a specified internal system, generating structured Markdown reports for a given date range.
Provides an intelligent data pipeline for high-fidelity crawling and extraction of technical documentation, optimized for AI agents.
Enables large language models to fetch, analyze, and summarize academic research papers from multiple trusted sources in real-time.
Access comprehensive Portuguese weather, sea state, fire risk, and seismic data from the IPMA API through a Model Context Protocol server.
Empowers AI agents with specialized search capabilities across diverse online platforms and data formats, utilizing the Model Context Protocol.
Provides AI agents with direct access to over 1,700 US Census Bureau datasets, including population, income, and demographics.
Gathers product and market data from Taobao, Tmall, and JD.com via an MCP server for integration with AI tools.
Automate interactions with Xiaohongshu to search for notes, retrieve details, and publish new content.
Automates comprehensive operations on the Xiaohongshu social media platform.
Quantifies regulatory divergence, predicts legislative outcomes, and identifies timing windows using cross-jurisdiction regulatory forecasting for AI agents.
Enables AI agents to perform deep structural analysis of scientific literature, patent landscapes, and community knowledge by unifying 18 academic and technical data sources with advanced mathematical frameworks.
Assess AI training data quality, detect bias, and score governance for any MCP-compatible AI agent.
Provides AI agents with comprehensive academic commercialization intelligence by orchestrating 8 academic and patent data sources to deliver actionable probability scores.
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