academic-research（学术研究）

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 access
• zotero-mcp - Connect to Zotero library
• openalex-mcp - 250M+ works database
• crossref-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

- Universal graph hub

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.