| name | academic-research |
| description | Search academic papers across arXiv, PubMed, Semantic Scholar, bioRxiv, medRxiv, Google Scholar, and more. Get BibTeX citations, download PDFs, analyze citation networks. Use for literature reviews, finding papers, and academic research. |
| version | 1.0.0 |
Academic Research Papers
Search and retrieve academic papers via multiple MCP servers.
Available Servers
paper-search
Multi-source paper search covering:
- arXiv, PubMed, bioRxiv, medRxiv
- Google Scholar, IACR, Semantic Scholar
- BibTeX export support
semantic-scholar
Full Semantic Scholar API access:
- Citation network analysis
- Author search
- Paper recommendations
- BibTeX, APA, MLA, Chicago formats
arxiv
arXiv-specific search:
- Advanced search filters
- Citation analysis
- BibTeX, JSON, CSV, Markdown export
When to Use
- Literature reviews
- Finding related papers
- Getting BibTeX citations
- Checking who cited a paper
- Finding papers by author
- Searching for specific topics
Example Usage
Search for Papers
paper_search(query="transformer attention mechanism", sources=["arxiv", "semantic_scholar"])
Get Citations
semantic_scholar_citations(paper_id="...")
arXiv Specific
arxiv_search(query="quantum computing", max_results=10)
Other Available Servers (Not Installed)
From your /Users/alice/worlds/l/mcp_servers.json:
research-hub-mcp - 11 sources + Unpaywall PDF accesszotero-mcp - Connect to Zotero libraryopenalex-mcp - 250M+ works databasecrossref-mcp - DOI metadata
Add more with:
"server-name": {
"command": "npx",
"args": ["-y", "server-package-name"]
}
Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
Graph Theory
- networkx [○] via bicomodule
Bibliography References
algorithms: 19 citations in bib.duckdb
SDF Interleaving
This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):
Primary Chapter: 6. Layering
Concepts: layered data, metadata, provenance, units
GF(3) Balanced Triad
academic-research (−) + SDF.Ch6 (+) + [balancer] (○) = 0
Skill Trit: -1 (MINUS - verification)
Secondary Chapters
- Ch10: Adventure Game Example
Connection Pattern
Layering adds metadata. This skill tracks provenance or annotations.
Cat# Integration
This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
GF(3) Naturality
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.
