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Library for performing depth-first search to find paths under a domain

  • Why this server?

    This server enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools. Its file system interaction capabilities could be used to traverse a domain and find paths, although it does not explicitly mention depth-first traversal.

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    A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
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    16
    TypeScript
  • Why this server?

    This server provides functionality to fetch and transform web content in various formats. It could potentially be used to fetch the content of a domain and then traverse the links to identify paths, but the traversal logic would need to be implemented externally.

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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.
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    137,083
    TypeScript
  • Why this server?

    This server provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web. It can potentially extract the structure of a website and the relationships between pages.

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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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    167
    56
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    This server enables AI agents to control web browsers, which could be used to simulate a user navigating a website and discover all paths. This requires external implementation of depth first search.

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    Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers.
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    JavaScript
  • Why this server?

    Enables AI agents to interact with web browsers using natural language, featuring automated browsing and structured JSON responses for systematic browser control. Could be used to perform traversal.

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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.
    Last updated -
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    38
    Python
    • Linux
    • Apple
  • Why this server?

    Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, which would allow a depth-first traversal of a website.

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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.
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    TypeScript
    MIT License
  • Why this server?

    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, which is related to finding paths.

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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.
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    6
    3
    TypeScript
    MIT License
  • 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. Could apply to website files.

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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.
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    45
    8
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    A server that provides structured access to markdown documentation from NPM packages, Go Modules, or PyPi packages, enabling informed code generation by exposing these docs as resources or tools. could index documentation site as a way to discover paths.

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    A server that provides structured access to markdown documentation from NPM packages, Go Modules, or PyPi packages, enabling informed code generation by exposing these docs as resources or tools.
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    1
    TypeScript
    MIT License
  • Why this server?

    A redesigned Model Context Protocol server that enables AI models to access filesystems through privacy-preserving path aliases with an optimized 6-function API interface. Could be used to traverse the directory and find the paths.

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    A redesigned Model Context Protocol server that enables AI models to access filesystems through privacy-preserving path aliases with an optimized 6-function API interface.
    Last updated -
    TypeScript
    MIT License