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A server for finding scholarly literature on Google Scholar including author, abstract, year, and publisher

  • Why this server?

    This server allows real-time web searches, which can be used to find literature on Google Scholar. It retrieves up-to-date information from the internet via a Crawler API.

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    A Model Context Protocol server that enables AI assistants to perform real-time web searches, retrieving up-to-date information from the internet via a Crawler API.
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    JavaScript
    • Apple
    • Linux
  • Why this server?

    This server allows fetching web content in multiple formats (HTML, JSON, Markdown, text), which would be useful to scrape data from Google Scholar.

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    A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.
    TypeScript
    • Apple
  • Why this server?

    This server enables you to retrieve the content of web pages, which is essential for crawling Google Scholar.

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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?

    This server fetches web page content using Playwright, an AI-powered headless browser, which would be useful for dynamic websites.

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    A server that allows fetching web page content using Playwright headless browser with AI-powered capabilities for efficient information extraction.
    2
    752
    2
    TypeScript
    MIT License
  • Why this server?

    This server extracts and transforms webpage content into clean, LLM-optimized Markdown, making it easier to analyze the Google Scholar results.

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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.
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    11
    MIT License
  • Why this server?

    Ingests data from web crawling, which can be useful for collecting information about Google Scholar papers.

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    The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
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    1,129
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    This server allows searching google, individual websites and scraping their content, which is useful for crawling and extracting information from Google Scholar.

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    security
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    quality
    Searching google, individual websites and scraping their content. Fast and cost-effective. ⚡️
    16
    TypeScript
    MIT License
  • Why this server?

    Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment. Useful for handling Google Scholar's pagination and extracting dynamic content.

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    Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment
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    327
    85
    JavaScript
    MIT License
    • Apple
  • Why this server?

    Allows you to search the web using DuckDuckGo and optionally fetch and summarize content from search results. Useful for intially finding papers on Google Scholar and retrieving their content for extracting author, abstract, etc.

  • Why this server?

    This server allows AI assistants to browse and read files from specified GitHub repositories, which can be useful to crawl a GitHub repository for literature on Google Scholar. Also author can post its code on GitHub

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    A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol.
    3
    JavaScript
    MIT License
    • Apple