Academia

Created By

IlyaGusev10 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 Content Tools Comments

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?

Conducting comprehensive literature reviews for research projects.
Compiling and formatting academic manuscripts using LaTeX.
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.

Try in Playground

Server Config

{
  "mcpServers": {
    "academia": {
      "command": "python3",
      "args": [
        "-m",
        "academia_mcp",
        "--transport",
        "stdio"
      ]
    }
  }
}

Project Info

Created At

10 months ago

Updated At

9 months ago

Author Name

IlyaGusev

Star

-

Language

-

License

-

Category

research-and-data

Tags

Homepage

https://github.com/IlyaGusev/academia_mcp

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