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Information about extraction techniques or processes

  • Why this server?

    This server provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web

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    A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
    1
    183
    28
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.

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    Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
    137,083
    TypeScript
  • Why this server?

    A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.

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    A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.
    9
    8,264
    2,147
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    An MCP server that provides real-time cryptocurrency news sourced from NewsData for AI agents.

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    An MCP server that provides real-time cryptocurrency news sourced from NewsData for AI agents.
    Python
    MIT License
  • Why this server?

    Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.

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    Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.
    TypeScript
    MIT License
  • Why this server?

    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.

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    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
    1
    4
    11
    MIT License
  • Why this server?

    A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying and data extraction.

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    A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying and data extraction.
    8
    8
    Python
    • Apple
    • Linux
  • Why this server?

    A Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.

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    A Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.
    1
    JavaScript
  • Why this server?

    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

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    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
    5
    JavaScript
    MIT License
    • Linux
    • Apple