Descubre nuestra colección curada de servidores MCP para web scraping & data collection. Explora 2985 servidores y encuentra los MCP perfectos para tus necesidades.
Enables AI-powered web searches via Tavily's API with added HTTP/HTTPS proxy support for enhanced LLM capabilities.
Searches the barnsworthburning.net website via the Model Context Protocol.
Query data across decentralized chains, social media platforms, and the RSS3 network.
Enables LLMs to interact with web pages through cloud browser automation, data extraction, and JavaScript execution.
Provides tools to access and interact with the police.uk API for crime data and related information.
Retrieves RSS feeds and formats entries as text using an MCP server.
Analyzes job URLs to extract detailed company information, enriching data through intelligent web crawling and external providers.
Provides a Model Context Protocol interface for querying Wikipedia content.
Provides comprehensive stock market information through RESTful APIs and MCP, sourcing data from Yahoo Finance.
Integrates the Gopher AI API with Model Context Protocol clients to enable data searching capabilities, particularly for Twitter.
Build autonomous AI agents for local LLM inference, memory handling, and voice interaction, automating various tasks without relying on external APIs.
Automates the job search process by continuously scraping listings, analyzing CVs, and scoring job description matches in real-time.
Empowers a multi-agent system to search for and analyze job offers that align with user profiles.
Provides programmatic access to municipal codes and ordinances from the Municode digital library across thousands of U.S. cities and counties.
Generates cited, analyst-grade intelligence briefs from any company URL using advanced AI-powered scraping and autonomous deep research.
Provides comprehensive Reddit thread content, including full comment trees, optimized for Large Language Models with significant token reduction.
Provides a collection of web analysis APIs, enabling AI agents to access web data and pay per call with USDC on Base.
Automate content publishing, searching, and account management on China's leading lifestyle social media platform, Xiaohongshu, through an AI-friendly Model Context Protocol server.
Empowers AI agents with efficient, multi-session browser automation, significantly reducing token consumption for web interactions.
Empower AI agents to conduct in-depth academic research across multiple databases, extract evidence from full PDFs, and generate comprehensive reports.
Scroll for more results...