Academia

Created By
IlyaGusev9 months ago
Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accelerate literature reviews. Download papers to text, compile manuscripts with LaTeX templates, and discover Hugging Face datasets to support experiments.
Overview

what is Academia?

Academia is a tool designed to accelerate literature reviews by allowing users to search arXiv and ACL Anthology, retrieve citations and references, and browse web sources. It also enables downloading papers to text, compiling manuscripts with LaTeX templates, and discovering Hugging Face datasets to support experiments.

how to use Academia?

To use Academia, install the package via pip, run the server using Python, and utilize the various tools available for searching and downloading papers, as well as compiling LaTeX documents.

key features of Academia?

  • ArXiv and ACL Anthology search and download
  • Hugging Face datasets search
  • Semantic Scholar citations and references
  • Web search capabilities
  • LaTeX compilation and PDF reading
  • Optional LLM-powered tools for document QA and research proposal workflows

use cases of Academia?

  1. Conducting comprehensive literature reviews for research projects.
  2. Compiling and formatting academic manuscripts using LaTeX.
  3. Finding and utilizing datasets for machine learning experiments.

FAQ from Academia?

  • Can Academia search all scientific papers?

Yes! Academia can search arXiv, ACL Anthology, and other web sources for scientific papers.

  • Is Academia free to use?

Yes! Academia is free to use for everyone.

  • What programming language is required to run Academia?

Academia requires Python 3.12 or higher.

Server Config

{
  "mcpServers": {
    "academia": {
      "command": "python3",
      "args": [
        "-m",
        "academia_mcp",
        "--transport",
        "stdio"
      ]
    }
  }
}
Project Info
Created At
9 months ago
Updated At
8 months ago
Author Name
IlyaGusev
Star
-
Language
-
License
-

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