search-paper 0.1.0

CLI for academic paper search across 9 APIs (OpenAlex, Semantic Scholar, PubMed, arXiv, medRxiv, CrossRef, Google Scholar, ORCID, Unpaywall)

academic

Single-command CLI for academic paper search across 9 APIs — 25 tools, no API keys required.

Based on alisoroushmd/academic-research-mcp (MIT), stripped of MCP server layer and repackaged as a standalone CLI.

Data sources

API	What
OpenAlex	250M+ works, authors, institutions
Semantic Scholar	Citation graphs, recommendations, batch
CrossRef	DOI registry
PubMed	NCBI E-utilities, full MeSH/Boolean syntax
arXiv	CS/ML preprints
medRxiv/bioRxiv	Health sciences preprints
Google Scholar	Keyword search, author profiles
ORCID	Researcher profiles, funding
Unpaywall	Legal open access PDFs

Optional env vars for higher rate limits: S2_API_KEY, OPENALEX_EMAIL, NCBI_API_KEY, CROSSREF_EMAIL.

Install

uv tool install git+https://github.com/yourname/academic

Or run from source:

git clone https://github.com/yourname/academic
cd academic
uv sync
uv run python server.py -L

Usage

# List all 25 tools
uv run python server.py -L

# Smart search (multi-source, recommended)
uv run python server.py -t smart_search \
  -a '{"query":"deep learning","num_results":5}'

# Find paper by DOI
uv run python server.py -t find_paper \
  -a '{"identifier":"10.1038/nature14539"}'

# Search specific source
uv run python server.py -t search_papers \
  -a '{"query":"cancer immunotherapy","source":"pubmed","num_results":5}'
uv run python server.py -t search_papers \
  -a '{"query":"LLM reasoning","source":"arxiv","num_results":5}'
uv run python server.py -t search_papers \
  -a '{"query":"graph neural network","source":"s2","num_results":5}'

# Citation network
uv run python server.py -t get_paper_network \
  -a '{"paper_id":"10.1038/nature14539","direction":"both"}'

# Batch lookup (up to 500 papers)
uv run python server.py -t batch_get_papers \
  -a '{"paper_ids":["DOI:10.1038/nature14539","DOI:10.1109/cvpr.2016.90"]}'

# Find open access PDF
uv run python server.py -t open_access \
  -a '{"dois":["10.1038/nature14539"]}'

# Author search
uv run python server.py -t search_authors \
  -a '{"query":"Geoffrey Hinton","source":"s2","num_results":3}'

Credits

All API client modules, orchestrator, cache, and review manager are derived from alisoroushmd/academic-research-mcp under the MIT license. The original project provides the same 25 tools as an MCP server for AI assistants (Claude Desktop, Cursor, etc.). This fork removes the MCP layer and repackages the tools as a plain CLI.

License

MIT — same as upstream.