ArxivAutoJob
@SamYuan1990
ArxivAutoJob について
This repo just collect arxiv paper with [arxiv_mcp_project](
基本情報
設定
ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is ArxivAutoJob?
ArxivAutoJob is a GitHub repository that collects arXiv papers using the arxiv_mcp_project server as a daily automated job. It is intended for users who want to monitor new arXiv submissions and optionally receive AI-generated summaries.
How to use ArxivAutoJob?
The server runs as a daily GitHub Action. No manual invocation or configuration steps are documented in the README.
Key features of ArxivAutoJob
- Collects arXiv papers automatically via a daily job
- Integrates with the arxiv_mcp_project server
- Runs in GitHub Archive (GitHub Actions)
- Aims to provide AI‑generated quick summaries of papers
Use cases of ArxivAutoJob
- Daily monitoring of new arXiv papers in a chosen category
- Automated collection of paper metadata for further processing
- Using AI to obtain a quick summary instead of reading every paper
FAQ from ArxivAutoJob
What does ArxivAutoJob do?
It collects arXiv papers using the arxiv_mcp_project server as a daily job in GitHub Archive.
How is ArxivAutoJob deployed?
It runs as a daily GitHub Action; no manual invocation is described.
What is the 2025-04-07 update about?
The author notes that relying on AI to read all papers may be inadvisable, but they want AI to provide a quick summary, referring to a “comprehensive‑analysis” prompt in the arxiv-mcp-server project.
What dependencies does ArxivAutoJob have?
It depends on the arxiv-mcp-project (specifically the arxiv_mcp_server package) to fetch papers.
Are there any known limitations?
The README does not mention any explicit limitations.
「データと分析」の他のコンテンツ
Federal Reserve Economic Data MCP Server
stefanoamorelliOpen-source FRED MCP Server (Federal Reserve Economic Data)
MCP From Zero: Quick Data
dislerPrompt focused MCP Server for .json and .csv agentic data analytics for Claude Code
HubSpot MCP Server
baryhuangA Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.
Google Analytics MCP Server
surendranbGoogle Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.
Healthcare MCP Server
CicatriizA Model Context Protocol (MCP) server providing AI assistants with access to healthcare data and medical information tools, including FDA drug info, PubMed, medRxiv, NCBI Bookshelf, clinical trials, ICD-10, DICOM metadata, and a medical calculator.
コメント