MCP ExplorerExplorer

Arxivautojob

@SamYuan1990on 5 days ago
2 Apache-2.0
FreeCommunity
AI Systems
This repo just collect arxiv paper with [arxiv_mcp_project](https://github.com/blazickjp/arxiv-mcp-server) as a daily job in github archive.

Overview

What is Arxivautojob

ArxivAutoJob is a repository designed to automate the collection of arXiv papers by integrating with the arxiv_mcp_project. It serves as a daily job that updates and archives research papers from arXiv, providing users with easy access to the latest academic publications.

Use cases

The primary use case of ArxivAutoJob is for researchers, academics, and students who wish to stay updated on recent developments in their fields by accessing a curated list of arXiv papers. It can also be used for automated analysis and summarization of research trends, facilitating informed decision-making in various scientific domains.

How to use

To use ArxivAutoJob, users can clone the repository and set up the necessary environment to connect with the arxiv_mcp_project. After setting up, it can be configured to run as a scheduled task that fetches new papers daily. Users can then access the aggregated list of papers and relevant summaries generated by the integrated AI.

Key features

Key features of ArxivAutoJob include automated daily retrieval of arXiv papers, integration with AI for summarization and analysis, and a structured archival system that makes tracking research progress easier. It also leverages prompts for enhanced insights and provides a user-friendly experience for accessing updates.

Where to use

ArxivAutoJob can be utilized in academic research settings, educational institutions, or by independent researchers who require a streamlined approach to staying informed about new publications. It is suitable for anyone looking to analyze trends in research based on arXiv submissions across various disciplines.

Content

ArxivAutoJob

This repo just collect arxiv paper with arxiv_mcp_project as a daily job in github archive.

Update

2025-04-07:
I don’t suppose I should use/realy on AI to read all of them.
But I want to use AI provides me a quick summary.
As leaving it at (comprehensive-analysis)[https://github.com/blazickjp/arxiv-mcp-server/blob/main/src/arxiv_mcp_server/prompts/deep_research_analysis_prompt.py#L21C2-L21C24] part.

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