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Using websites to train a machine learning model

  • Why this server?

    This server provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web, which can be used to train a model.

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    A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
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    183
    28
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Integrates with FireCrawl for advanced web scraping capabilities, allowing the AI to scan the internet for websites and extract data.

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    A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.
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    8,264
    2,147
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers, allowing for broad web data acquisition.

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    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
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    23
    Python
    • Linux
    • Apple
  • Why this server?

    Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, with anti-detection measures and comprehensive metadata extraction. Useful for targeting a specific type of website.

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    Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, with anti-detection measures and comprehensive metadata extraction.
    2
    Python
    MIT License
  • Why this server?

    An MCP server for fetching and transforming web content into various formats. This is a basic building block for scanning and using web data.

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    An MCP server for fetching and transforming web content into various formats.
    4
    4
    Python
    MIT License
    • Apple
  • Why this server?

    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources. It can find a website and use it to train a model.

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    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
    65
    Python
    MIT License
    • Apple
  • Why this server?

    A Model Context Protocol server that provides LLMs with real-time trending content from 18 major Chinese internet platforms, which fits the 'scan the internet' request for a specific type of data.

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    A Model Context Protocol server that provides AI models with real-time trending content from 18 major Chinese internet platforms, including Weibo, Zhihu, and Bilibili.
    TypeScript
  • Why this server?

    A Model Context Protocol server implementation that enables AI assistants like Claude to perform Google searches and retrieve web data directly through natural language requests, supporting the 'scan the internet' aspect.

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    A Model Context Protocol server implementation that enables AI assistants like Claude to perform Google searches and retrieve web data directly through natural language requests.
    1
    95
    2
    TypeScript
    MIT License
  • Why this server?

    Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages, allowing it to scan the internet.

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    Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages using tools like page fetching, link extraction, site crawling, and more.
    6
    3
    TypeScript
    MIT License