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Tools or methods for generating academic papers

  • Why this server?

    Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI, which could be helpful in generating a paper.

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    Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI.
    Last updated -
    3
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Leverages Google's Gemini Flash 2 to analyze datasets, generate research papers, and deliver results via email. Addresses the paper generation request directly.

  • Why this server?

    A bridge between AI assistants and ArXiv's research repository that enables searching, downloading, and reading academic papers which is helpful in gathering research for paper generation.

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    A bridge between AI assistants and ArXiv's research repository that enables searching, downloading, and reading academic papers through the Message Control Protocol.
    Last updated -
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation, this can also be used for research data during paper generation.

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    Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.
    Last updated -
    6
    25
    JavaScript
    AGPL 3.0
    • Apple
  • Why this server?

    Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities which could be used in researching.

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    Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
    Last updated -
    4
    1
    Python
    Apache 2.0
  • Why this server?

    A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports which is helpful in generating any academic paper.

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    A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.
    Last updated -
    9
    Python
    MIT License
    • Apple
  • Why this server?

    MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more which is helpful in generating high grade paper.

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    Professional Gemini API integration for Claude and MCP-compatible hosts with intelligent model selection and advanced file handling capabilities.
    Last updated -
    4
    1
    TypeScript
    MIT License
  • Why this server?

    A Model Context Protocol server that enables Large Language Models to search and access IETF RFC documents with pagination support; these documents can be helpful as supporting evidence in a computer science paper.

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    A Model Context Protocol server that enables Large Language Models to search and access IETF RFC documents with pagination support.
    Last updated -
    Python
    MIT License
  • Why this server?

    A Model Context Protocol server that enables efficient discovery and retrieval of NASA Earth Data for geospatial analysis, which is useful for users who want to analyze spacial data or write geoscience paper.

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    A Model Context Protocol server that enables efficient discovery and retrieval of NASA Earth Data for geospatial analysis.
    Last updated -
    10
    Python
    BSD 3-Clause
    • Linux
  • Why this server?

    An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language; This can be helpful in finding relevant research.

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    An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.
    Last updated -
    91
    Python
    • Apple