TaewoooPark/scholar-megasearch
View on GitHub ↗Massive multi-source academic literature search for Claude Code — one skill fans out subagents across 20+ scholarly databases (arXiv, Semantic Scholar, Crossref, OpenAlex, PubMed, …), merges into a deduplicated ranked corpus, and acquires the original PDFs.
24 ★8 forksPythonUpdated 21d ago
What you need to know
A skill + MCP setup for massive multi-source academic literature search in Claude Code and Codex. Fans out subagents across 20+ scholarly databases, merges into a deduplicated, corroboration-ranked corpus, and downloads original PDFs.
Install
git clone https://github.com/TaewoooPark/scholar-megasearch.git bash setup/install.sh you@example.com (or --target codex / --target both)
Usage
- •Trigger the skill in natural language, e.g. "search every database for graph neural networks and grab the PDFs"
- •Or use /scholar-megasearch depth=4 <topic> as a slash command
Key features
- ✓20+ sources in one pass with parallel subagent fan-out
- ✓Dedup by DOI/arXiv/title with provenance tracking
- ✓Corroboration ranking and optional --min-sources 2 shortlist
- ✓Automatic PDF acquisition via open-access routes
- ✓Depth levels L1-L5 with recursive citation snowballing
Best for
Systematic, broad literature sweeps with PDFs from Claude Code/Codex
Caveats
- ⚠Requires Claude Code or Codex and Python 3.11+ with uv
- ⚠paper-search-mcp must be the git-main build; Asta rate limits apply
- ⚠PDF acquisition is open-access-first; paywalled papers are flagged
Platforms: macOS · LinuxClients: Claude Code · Codex
Reviewed 2026-08-11
Topics
academic-searchagent-skillsanthropicarxivclaudeclaude-codeliterature-reviewmcpmodel-context-protocolmulti-agentopenalexpubmedresearch-toolsscholarlysemantic-scholarsystematic-review
- Stars
- 24★
- Forks
- 8
- Language
- Python
- License
- MIT
- Created
- 2026-05-29
- Last push
- 2026-08-14