jonradoff/paper-scout

Personal AI research paper ingestion and scoring pipeline with MCP tools for Claude

34
/ 100
Emerging

Paper Scout helps AI researchers and practitioners stay current with new research by automating the discovery and initial assessment of papers. It monitors sources like arXiv and Semantic Scholar, then scores new papers based on your specific interests and preferences, presenting the most relevant candidates for your review directly within Claude Desktop or Cowork. This tool is for anyone who needs to efficiently track and evaluate the latest AI research without being overwhelmed by the volume of new publications.

Use this if you spend significant time manually sifting through new AI research papers and want a personalized, automated system to surface the most relevant ones for you.

Not ideal if you prefer to browse research sources manually or are looking for a general-purpose paper discovery tool without personalized scoring.

AI-research literature-review research-discovery knowledge-management academic-tracking
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 11 / 25
Community 9 / 25

How are scores calculated?

Stars

7

Forks

1

Language

Python

License

MIT

Last pushed

Feb 24, 2026

Commits (30d)

0

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