scholar-megasearch

Massive multi-source academic literature search via subagent orchestration. Fans out parallel searchers across every available scholarly source — arXiv, Semantic Scholar, Crossref, OpenAlex, PubMed/PMC, bioRxiv/medRxiv, DOAJ, CORE, BASE, DBLP, IACR, SSRN, Zenodo, Unpaywall, plus web/GitHub — then deduplicates by DOI/arXiv-id/title into one ranked corpus and synthesizes it. Use when the user wants a broad/exhaustive literature sweep, a large-scale paper search, a systematic review corpus, citation snowballing, or to find as many papers as possible on a topic across many databases at once. Triggers: "massive literature search", "literature review", "search across every database", "systematic search", "mega search", "search every source", "exhaustive search". Localized trigger phrases in other languages map to the same intent.

Single-machine academic paper search and PDF handling for any research field. Searches arXiv and Semantic Scholar without an API key, with DuckDuckGo as a web fallback, and extracts/downloads PDFs locally. MCP servers (arxiv-mcp-server, Ai2 Asta) are used when available. Use for quick, focused lookups in any discipline; for a broad multi-database sweep use scholar-megasearch instead.